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Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationWed, 29 Dec 2010 14:42:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t129363360024i2eodvjckcebl.htm/, Retrieved Fri, 03 May 2024 10:02:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116880, Retrieved Fri, 03 May 2024 10:02:27 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Structural Time Series Models] [] [2010-12-16 11:51:47] [4cec9a0c6d7fcfe819c8df12b51eb7f5]
-       [Structural Time Series Models] [W8] [2010-12-16 13:47:24] [f82dc80ca9fc4fd83b66f6024d510f8c]
-           [Structural Time Series Models] [] [2010-12-29 14:42:18] [9d4f9c24554023ef0148ede5dd3a4d11] [Current]
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Dataseries X:
1856
1834
2095
2164
2368
2072
2521
1823
1947
2226
1754
1786
2072
1846
2137
2466
2154
2289
2628
2074
2798
2194
2442
2565
2063
2069
2539
1898
2139
2408
2725
2201
2311
2548
2276
2351
2280
2057
2479
2379
2295
2456
2546
2844
2260
2981
2678
3440
2842
2450
2669
2570
2540
2318
2930
2947
2799
2695
2498
2260
2160
2058
2533
2150
2172
2155
3016
2333
2355
2825
2214
2360
2299
1746
2069
2267
1878
2266
2282
2085
2277
2251
1828
1954
1851
1570
1852
2187
1855
2218
2253
2028
2169
1997
2034
1791
1627
1631
2319
1707
1747
2397
2059
2251
2558
2406
2049
2074
1734




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116880&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116880&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ 72.249.76.132







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
118561856000
218341849.00401376043-0.866462741645097-2.24138791113759-0.0855674077443585
320951933.000068499017.9120739992435430.27390939581640.920814634266865
421642016.7127715875914.201114701833825.08213068910670.845563690284613
523682140.5320487657421.794875750635843.11668689245721.26237592739167
620722130.1663751034519.8617121680156-2.23569239351824-0.380016029024471
725212261.3628071483225.856199076803661.13871537217571.34112305919828
818232136.2966490087418.3915213148299-39.3565272526978-1.84344776585951
919472077.4848260211514.815016153619411.4390488237704-0.952346721962866
1022262126.3785505976716.315363492608636.41009956340550.423300385229205
1117542017.4707787144211.0194791721335-29.7247098481464-1.56298140119547
1217861944.126377248457.565171384286820.0591258798614192-1.05657203296087
1320721990.963283916244.2020392547632-16.16050830593000.710194717180928
1418461954.141027159932.44566442592975-44.0540259228977-0.453025048240505
1521372009.048774323184.9146879075032346.45907587968670.582652112027052
1624662159.9499980089211.140083244538764.4640137304991.70827586330405
1721542163.9173606296310.86308405911972.46440825733971-0.086840065289077
1822892218.1036543148512.4131555817080-5.748918671672320.534950655984567
1926282330.6337570249815.8043479617601117.6977311076281.25039984990017
2020742281.1289213180613.6747461120318-88.9364967324584-0.821120371188022
2127982439.3817161009818.268580157299595.66441099112541.82484521325883
2221942371.6766557811315.5845803948641-20.8502603530585-1.08759196202597
2324422402.0976603534216.040387204589612.78513237317040.187946057405880
2425652464.6963336425417.355749284689914.70355539130650.591757011560477
2520632402.0188797937218.2222123787923-177.687726262595-1.16201889448117
2620692326.5821876052515.2844475949366-99.0895446452328-1.12782875331418
2725392389.410531629917.051258692577771.94975405480320.559463970507761
2818982234.4318224538410.8830472682195-47.9082378101042-2.07243240584179
2921392203.843869398669.48014051105196.41385312759767-0.509604565413696
3024082275.6227823646511.489101280633623.71259710532520.774838753687826
3127252381.1381944923914.4199471795924178.4269697496591.17753880719335
3222012382.6266489841614.0258873333501-158.761635421280-0.162576001144295
3323112336.7541341600912.227152012575780.451777000753-0.754663194328951
3425482409.9934963553114.040213723929529.65183493969650.769591630052417
3522762384.4958328388812.8854315314510-38.1794947117766-0.499106278086742
3623512368.5819630691412.117908188045433.8808509422194-0.364557047304815
3722802385.4161359478212.1725533680226-114.1701300567340.063399443341562
3820572327.8873757375410.1592773979396-150.951401315467-0.861682006720261
3924792336.6558890309910.1128392468197144.658733149978-0.0167790817292452
4023792366.8499537523410.7818402290727-21.62738644675350.244823544580364
4122952360.0485176057110.2138029055493-35.0279408920613-0.217067870507476
4224562395.7240870921311.012443743925216.35827901162310.316927589427486
4325462395.6394638260310.6719550042110169.616043005943-0.138780287798058
4428442573.4451269315715.7237965937197-20.42226364672892.09555971322776
4522602488.9455542347112.7249435159341-54.1387975858044-1.25832639425816
4629812620.8068451632816.2577783919955152.1809145232041.49678019660481
4726782665.7621175907717.0933551838880-37.91269949061490.360646363977283
4834402893.8991170809222.8360953038057176.3933580598482.65685016884167
4928422938.7390108904523.2999949757211-135.9723283964570.285488905055748
5024502862.075153492520.4312235045217-239.749285256507-1.2464512490544
5126692771.6425389501716.920829099577683.7070981314688-1.35544153240520
5225702720.309538639714.7378155760905-35.2273139203102-0.83789219359093
5325402684.9687034654813.1592177338961-59.7412705698716-0.619746752675726
5423182581.023296135859.53179944889732-62.2918662517905-1.45770808106484
5529302645.206458206411.2006842931147190.7094875369010.682599401332796
5629472742.3462732013613.797991875177756.3564850286511.07529534764335
5727992804.9629455929915.2620634339766-90.3088730239460.611351643824623
5826952753.5067165208013.277324617292256.8339747241062-0.835723001540595
5924982717.6754080319311.8393042714856-134.758462468735-0.615019709736363
6022602538.552083208956.4812231933030151.9076942854881-2.39408691438801
6121602444.510405887263.91682343995129-108.907279511997-1.28132608902420
6220582381.635580236111.97912774313349-208.704077553093-0.834914159066098
6325332387.001123702852.08351292572281140.2745887788560.0417188277800402
6421502321.43473370249-0.0267652538521386-57.1136880869589-0.83422318567053
6521722280.26567939317-1.30257983175175-38.3332987440948-0.510021742405173
6621552265.18459602348-1.72562061020482-86.6433597727155-0.171533679977553
6730162432.613573650383.42098343655144293.4493341281352.11114338629866
6823332405.674383844472.50387041773582-20.5469214096226-0.37938121631614
6923552409.246830418362.53595760672286-56.0829783496150.0133590522323261
7028252504.145607149215.29069178689218162.1188308882651.15457646958223
7122142448.367726851313.49086567228421-129.449506415065-0.762977960121812
7223602395.477268313331.8703782492975961.3876679160496-0.7049564700646
7322992388.726279425661.63180812406517-74.8278683188769-0.108872620591849
7417462262.54061257741-2.11810716165301-297.123617546189-1.5983244210972
7520692146.88895379273-5.57044025139316114.635788765717-1.40492822372487
7622672180.76661497741-4.358871874070319.44864966204940.487929812371759
7718782105.32636872957-6.53802464069114-106.547545733590-0.882260019418131
7822662182.61927647234-3.98197201754566-59.60092940124941.04382230096728
7922822127.31194626323-5.5380709547135242.443024553837-0.640299167523958
8020852116.23987097918-5.70502810286925-21.7661479162565-0.0690976463676675
8122772181.12587026067-3.58487897577327-25.02286254372120.881533975400648
8222512149.51279579999-4.42227990805325149.480722780880-0.349879948945289
8318282082.95325012733-6.26343536482708-148.625383508770-0.77513685000886
8419542014.26556831331-8.0868806860849746.5299202000564-0.779249442295863
8518511962.56479013236-9.34124191358312-36.6467867227512-0.547937700483472
8615701913.91562199681-10.5039318689200-276.581646333038-0.491356676252319
8718521854.66245356543-11.976127403835480.1482206233398-0.604852620666575
8821871926.65233894198-9.42183871789272118.0047285844971.04071032819889
8918551942.17187521455-8.66317904363502-129.5499473348170.309851790029715
9022182029.58521290353-5.7491853148546224.70850473660011.19648834672343
9122532028.0418463014-5.6220658167709217.7780333687760.0524556287423158
9220282036.97742852879-5.18352445364373-33.85285863111100.181672706971415
9321692074.26071609937-3.9083865094903222.16263342732180.529927760982713
9419972001.17639728716-5.9775820121492113.995851451709-0.862737707536558
9520342036.48627363584-4.74936232318035-72.95932436398230.514560753171482
9617911946.62550762319-7.26110378739564-10.3763785558530-1.06144687649336
9716271851.53088775974-9.83665587436138-74.179953205435-1.10020246269001
9816311852.12836095423-9.52637354476888-238.9710956265500.130356243790705
9923191966.08434302041-5.81027694954828142.9669423183311.53452832693994
10017071867.11689864009-8.62772817697718-2.04662736199526-1.15625865151546
10117471867.9135505837-8.34255613176523-136.9274956849130.117157091627650
10223972007.44664374147-3.87464698898578137.7420930471121.84177777839206
10320591969.18298054706-4.91149101521205148.466540089527-0.428827980104091
10422512056.99571563387-2.1219479526366435.75780736753371.15673309234974
10525582192.070962539541.99615022918312131.7907564025531.71115493565311
10624062233.565199522963.17856041062205105.0668990443090.492309840561236
10720492197.841303880332.01809952195158-82.5443521411148-0.48457406901269
10820742157.893471908020.771812322923348-12.3806992989925-0.523080327638101
10917342060.01427650079-2.15025908393324-157.507899649222-1.23347114126401

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 1856 & 1856 & 0 & 0 & 0 \tabularnewline
2 & 1834 & 1849.00401376043 & -0.866462741645097 & -2.24138791113759 & -0.0855674077443585 \tabularnewline
3 & 2095 & 1933.00006849901 & 7.91207399924354 & 30.2739093958164 & 0.920814634266865 \tabularnewline
4 & 2164 & 2016.71277158759 & 14.2011147018338 & 25.0821306891067 & 0.845563690284613 \tabularnewline
5 & 2368 & 2140.53204876574 & 21.7948757506358 & 43.1166868924572 & 1.26237592739167 \tabularnewline
6 & 2072 & 2130.16637510345 & 19.8617121680156 & -2.23569239351824 & -0.380016029024471 \tabularnewline
7 & 2521 & 2261.36280714832 & 25.8561990768036 & 61.1387153721757 & 1.34112305919828 \tabularnewline
8 & 1823 & 2136.29664900874 & 18.3915213148299 & -39.3565272526978 & -1.84344776585951 \tabularnewline
9 & 1947 & 2077.48482602115 & 14.8150161536194 & 11.4390488237704 & -0.952346721962866 \tabularnewline
10 & 2226 & 2126.37855059767 & 16.3153634926086 & 36.4100995634055 & 0.423300385229205 \tabularnewline
11 & 1754 & 2017.47077871442 & 11.0194791721335 & -29.7247098481464 & -1.56298140119547 \tabularnewline
12 & 1786 & 1944.12637724845 & 7.56517138428682 & 0.0591258798614192 & -1.05657203296087 \tabularnewline
13 & 2072 & 1990.96328391624 & 4.2020392547632 & -16.1605083059300 & 0.710194717180928 \tabularnewline
14 & 1846 & 1954.14102715993 & 2.44566442592975 & -44.0540259228977 & -0.453025048240505 \tabularnewline
15 & 2137 & 2009.04877432318 & 4.91468790750323 & 46.4590758796867 & 0.582652112027052 \tabularnewline
16 & 2466 & 2159.94999800892 & 11.1400832445387 & 64.464013730499 & 1.70827586330405 \tabularnewline
17 & 2154 & 2163.91736062963 & 10.8630840591197 & 2.46440825733971 & -0.086840065289077 \tabularnewline
18 & 2289 & 2218.10365431485 & 12.4131555817080 & -5.74891867167232 & 0.534950655984567 \tabularnewline
19 & 2628 & 2330.63375702498 & 15.8043479617601 & 117.697731107628 & 1.25039984990017 \tabularnewline
20 & 2074 & 2281.12892131806 & 13.6747461120318 & -88.9364967324584 & -0.821120371188022 \tabularnewline
21 & 2798 & 2439.38171610098 & 18.2685801572995 & 95.6644109911254 & 1.82484521325883 \tabularnewline
22 & 2194 & 2371.67665578113 & 15.5845803948641 & -20.8502603530585 & -1.08759196202597 \tabularnewline
23 & 2442 & 2402.09766035342 & 16.0403872045896 & 12.7851323731704 & 0.187946057405880 \tabularnewline
24 & 2565 & 2464.69633364254 & 17.3557492846899 & 14.7035553913065 & 0.591757011560477 \tabularnewline
25 & 2063 & 2402.01887979372 & 18.2222123787923 & -177.687726262595 & -1.16201889448117 \tabularnewline
26 & 2069 & 2326.58218760525 & 15.2844475949366 & -99.0895446452328 & -1.12782875331418 \tabularnewline
27 & 2539 & 2389.4105316299 & 17.0512586925777 & 71.9497540548032 & 0.559463970507761 \tabularnewline
28 & 1898 & 2234.43182245384 & 10.8830472682195 & -47.9082378101042 & -2.07243240584179 \tabularnewline
29 & 2139 & 2203.84386939866 & 9.4801405110519 & 6.41385312759767 & -0.509604565413696 \tabularnewline
30 & 2408 & 2275.62278236465 & 11.4891012806336 & 23.7125971053252 & 0.774838753687826 \tabularnewline
31 & 2725 & 2381.13819449239 & 14.4199471795924 & 178.426969749659 & 1.17753880719335 \tabularnewline
32 & 2201 & 2382.62664898416 & 14.0258873333501 & -158.761635421280 & -0.162576001144295 \tabularnewline
33 & 2311 & 2336.75413416009 & 12.2271520125757 & 80.451777000753 & -0.754663194328951 \tabularnewline
34 & 2548 & 2409.99349635531 & 14.0402137239295 & 29.6518349396965 & 0.769591630052417 \tabularnewline
35 & 2276 & 2384.49583283888 & 12.8854315314510 & -38.1794947117766 & -0.499106278086742 \tabularnewline
36 & 2351 & 2368.58196306914 & 12.1179081880454 & 33.8808509422194 & -0.364557047304815 \tabularnewline
37 & 2280 & 2385.41613594782 & 12.1725533680226 & -114.170130056734 & 0.063399443341562 \tabularnewline
38 & 2057 & 2327.88737573754 & 10.1592773979396 & -150.951401315467 & -0.861682006720261 \tabularnewline
39 & 2479 & 2336.65588903099 & 10.1128392468197 & 144.658733149978 & -0.0167790817292452 \tabularnewline
40 & 2379 & 2366.84995375234 & 10.7818402290727 & -21.6273864467535 & 0.244823544580364 \tabularnewline
41 & 2295 & 2360.04851760571 & 10.2138029055493 & -35.0279408920613 & -0.217067870507476 \tabularnewline
42 & 2456 & 2395.72408709213 & 11.0124437439252 & 16.3582790116231 & 0.316927589427486 \tabularnewline
43 & 2546 & 2395.63946382603 & 10.6719550042110 & 169.616043005943 & -0.138780287798058 \tabularnewline
44 & 2844 & 2573.44512693157 & 15.7237965937197 & -20.4222636467289 & 2.09555971322776 \tabularnewline
45 & 2260 & 2488.94555423471 & 12.7249435159341 & -54.1387975858044 & -1.25832639425816 \tabularnewline
46 & 2981 & 2620.80684516328 & 16.2577783919955 & 152.180914523204 & 1.49678019660481 \tabularnewline
47 & 2678 & 2665.76211759077 & 17.0933551838880 & -37.9126994906149 & 0.360646363977283 \tabularnewline
48 & 3440 & 2893.89911708092 & 22.8360953038057 & 176.393358059848 & 2.65685016884167 \tabularnewline
49 & 2842 & 2938.73901089045 & 23.2999949757211 & -135.972328396457 & 0.285488905055748 \tabularnewline
50 & 2450 & 2862.0751534925 & 20.4312235045217 & -239.749285256507 & -1.2464512490544 \tabularnewline
51 & 2669 & 2771.64253895017 & 16.9208290995776 & 83.7070981314688 & -1.35544153240520 \tabularnewline
52 & 2570 & 2720.3095386397 & 14.7378155760905 & -35.2273139203102 & -0.83789219359093 \tabularnewline
53 & 2540 & 2684.96870346548 & 13.1592177338961 & -59.7412705698716 & -0.619746752675726 \tabularnewline
54 & 2318 & 2581.02329613585 & 9.53179944889732 & -62.2918662517905 & -1.45770808106484 \tabularnewline
55 & 2930 & 2645.2064582064 & 11.2006842931147 & 190.709487536901 & 0.682599401332796 \tabularnewline
56 & 2947 & 2742.34627320136 & 13.7979918751777 & 56.356485028651 & 1.07529534764335 \tabularnewline
57 & 2799 & 2804.96294559299 & 15.2620634339766 & -90.308873023946 & 0.611351643824623 \tabularnewline
58 & 2695 & 2753.50671652080 & 13.2773246172922 & 56.8339747241062 & -0.835723001540595 \tabularnewline
59 & 2498 & 2717.67540803193 & 11.8393042714856 & -134.758462468735 & -0.615019709736363 \tabularnewline
60 & 2260 & 2538.55208320895 & 6.48122319330301 & 51.9076942854881 & -2.39408691438801 \tabularnewline
61 & 2160 & 2444.51040588726 & 3.91682343995129 & -108.907279511997 & -1.28132608902420 \tabularnewline
62 & 2058 & 2381.63558023611 & 1.97912774313349 & -208.704077553093 & -0.834914159066098 \tabularnewline
63 & 2533 & 2387.00112370285 & 2.08351292572281 & 140.274588778856 & 0.0417188277800402 \tabularnewline
64 & 2150 & 2321.43473370249 & -0.0267652538521386 & -57.1136880869589 & -0.83422318567053 \tabularnewline
65 & 2172 & 2280.26567939317 & -1.30257983175175 & -38.3332987440948 & -0.510021742405173 \tabularnewline
66 & 2155 & 2265.18459602348 & -1.72562061020482 & -86.6433597727155 & -0.171533679977553 \tabularnewline
67 & 3016 & 2432.61357365038 & 3.42098343655144 & 293.449334128135 & 2.11114338629866 \tabularnewline
68 & 2333 & 2405.67438384447 & 2.50387041773582 & -20.5469214096226 & -0.37938121631614 \tabularnewline
69 & 2355 & 2409.24683041836 & 2.53595760672286 & -56.082978349615 & 0.0133590522323261 \tabularnewline
70 & 2825 & 2504.14560714921 & 5.29069178689218 & 162.118830888265 & 1.15457646958223 \tabularnewline
71 & 2214 & 2448.36772685131 & 3.49086567228421 & -129.449506415065 & -0.762977960121812 \tabularnewline
72 & 2360 & 2395.47726831333 & 1.87037824929759 & 61.3876679160496 & -0.7049564700646 \tabularnewline
73 & 2299 & 2388.72627942566 & 1.63180812406517 & -74.8278683188769 & -0.108872620591849 \tabularnewline
74 & 1746 & 2262.54061257741 & -2.11810716165301 & -297.123617546189 & -1.5983244210972 \tabularnewline
75 & 2069 & 2146.88895379273 & -5.57044025139316 & 114.635788765717 & -1.40492822372487 \tabularnewline
76 & 2267 & 2180.76661497741 & -4.3588718740703 & 19.4486496620494 & 0.487929812371759 \tabularnewline
77 & 1878 & 2105.32636872957 & -6.53802464069114 & -106.547545733590 & -0.882260019418131 \tabularnewline
78 & 2266 & 2182.61927647234 & -3.98197201754566 & -59.6009294012494 & 1.04382230096728 \tabularnewline
79 & 2282 & 2127.31194626323 & -5.5380709547135 & 242.443024553837 & -0.640299167523958 \tabularnewline
80 & 2085 & 2116.23987097918 & -5.70502810286925 & -21.7661479162565 & -0.0690976463676675 \tabularnewline
81 & 2277 & 2181.12587026067 & -3.58487897577327 & -25.0228625437212 & 0.881533975400648 \tabularnewline
82 & 2251 & 2149.51279579999 & -4.42227990805325 & 149.480722780880 & -0.349879948945289 \tabularnewline
83 & 1828 & 2082.95325012733 & -6.26343536482708 & -148.625383508770 & -0.77513685000886 \tabularnewline
84 & 1954 & 2014.26556831331 & -8.08688068608497 & 46.5299202000564 & -0.779249442295863 \tabularnewline
85 & 1851 & 1962.56479013236 & -9.34124191358312 & -36.6467867227512 & -0.547937700483472 \tabularnewline
86 & 1570 & 1913.91562199681 & -10.5039318689200 & -276.581646333038 & -0.491356676252319 \tabularnewline
87 & 1852 & 1854.66245356543 & -11.9761274038354 & 80.1482206233398 & -0.604852620666575 \tabularnewline
88 & 2187 & 1926.65233894198 & -9.42183871789272 & 118.004728584497 & 1.04071032819889 \tabularnewline
89 & 1855 & 1942.17187521455 & -8.66317904363502 & -129.549947334817 & 0.309851790029715 \tabularnewline
90 & 2218 & 2029.58521290353 & -5.74918531485462 & 24.7085047366001 & 1.19648834672343 \tabularnewline
91 & 2253 & 2028.0418463014 & -5.6220658167709 & 217.778033368776 & 0.0524556287423158 \tabularnewline
92 & 2028 & 2036.97742852879 & -5.18352445364373 & -33.8528586311110 & 0.181672706971415 \tabularnewline
93 & 2169 & 2074.26071609937 & -3.90838650949032 & 22.1626334273218 & 0.529927760982713 \tabularnewline
94 & 1997 & 2001.17639728716 & -5.9775820121492 & 113.995851451709 & -0.862737707536558 \tabularnewline
95 & 2034 & 2036.48627363584 & -4.74936232318035 & -72.9593243639823 & 0.514560753171482 \tabularnewline
96 & 1791 & 1946.62550762319 & -7.26110378739564 & -10.3763785558530 & -1.06144687649336 \tabularnewline
97 & 1627 & 1851.53088775974 & -9.83665587436138 & -74.179953205435 & -1.10020246269001 \tabularnewline
98 & 1631 & 1852.12836095423 & -9.52637354476888 & -238.971095626550 & 0.130356243790705 \tabularnewline
99 & 2319 & 1966.08434302041 & -5.81027694954828 & 142.966942318331 & 1.53452832693994 \tabularnewline
100 & 1707 & 1867.11689864009 & -8.62772817697718 & -2.04662736199526 & -1.15625865151546 \tabularnewline
101 & 1747 & 1867.9135505837 & -8.34255613176523 & -136.927495684913 & 0.117157091627650 \tabularnewline
102 & 2397 & 2007.44664374147 & -3.87464698898578 & 137.742093047112 & 1.84177777839206 \tabularnewline
103 & 2059 & 1969.18298054706 & -4.91149101521205 & 148.466540089527 & -0.428827980104091 \tabularnewline
104 & 2251 & 2056.99571563387 & -2.12194795263664 & 35.7578073675337 & 1.15673309234974 \tabularnewline
105 & 2558 & 2192.07096253954 & 1.99615022918312 & 131.790756402553 & 1.71115493565311 \tabularnewline
106 & 2406 & 2233.56519952296 & 3.17856041062205 & 105.066899044309 & 0.492309840561236 \tabularnewline
107 & 2049 & 2197.84130388033 & 2.01809952195158 & -82.5443521411148 & -0.48457406901269 \tabularnewline
108 & 2074 & 2157.89347190802 & 0.771812322923348 & -12.3806992989925 & -0.523080327638101 \tabularnewline
109 & 1734 & 2060.01427650079 & -2.15025908393324 & -157.507899649222 & -1.23347114126401 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116880&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]1856[/C][C]1856[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]1834[/C][C]1849.00401376043[/C][C]-0.866462741645097[/C][C]-2.24138791113759[/C][C]-0.0855674077443585[/C][/ROW]
[ROW][C]3[/C][C]2095[/C][C]1933.00006849901[/C][C]7.91207399924354[/C][C]30.2739093958164[/C][C]0.920814634266865[/C][/ROW]
[ROW][C]4[/C][C]2164[/C][C]2016.71277158759[/C][C]14.2011147018338[/C][C]25.0821306891067[/C][C]0.845563690284613[/C][/ROW]
[ROW][C]5[/C][C]2368[/C][C]2140.53204876574[/C][C]21.7948757506358[/C][C]43.1166868924572[/C][C]1.26237592739167[/C][/ROW]
[ROW][C]6[/C][C]2072[/C][C]2130.16637510345[/C][C]19.8617121680156[/C][C]-2.23569239351824[/C][C]-0.380016029024471[/C][/ROW]
[ROW][C]7[/C][C]2521[/C][C]2261.36280714832[/C][C]25.8561990768036[/C][C]61.1387153721757[/C][C]1.34112305919828[/C][/ROW]
[ROW][C]8[/C][C]1823[/C][C]2136.29664900874[/C][C]18.3915213148299[/C][C]-39.3565272526978[/C][C]-1.84344776585951[/C][/ROW]
[ROW][C]9[/C][C]1947[/C][C]2077.48482602115[/C][C]14.8150161536194[/C][C]11.4390488237704[/C][C]-0.952346721962866[/C][/ROW]
[ROW][C]10[/C][C]2226[/C][C]2126.37855059767[/C][C]16.3153634926086[/C][C]36.4100995634055[/C][C]0.423300385229205[/C][/ROW]
[ROW][C]11[/C][C]1754[/C][C]2017.47077871442[/C][C]11.0194791721335[/C][C]-29.7247098481464[/C][C]-1.56298140119547[/C][/ROW]
[ROW][C]12[/C][C]1786[/C][C]1944.12637724845[/C][C]7.56517138428682[/C][C]0.0591258798614192[/C][C]-1.05657203296087[/C][/ROW]
[ROW][C]13[/C][C]2072[/C][C]1990.96328391624[/C][C]4.2020392547632[/C][C]-16.1605083059300[/C][C]0.710194717180928[/C][/ROW]
[ROW][C]14[/C][C]1846[/C][C]1954.14102715993[/C][C]2.44566442592975[/C][C]-44.0540259228977[/C][C]-0.453025048240505[/C][/ROW]
[ROW][C]15[/C][C]2137[/C][C]2009.04877432318[/C][C]4.91468790750323[/C][C]46.4590758796867[/C][C]0.582652112027052[/C][/ROW]
[ROW][C]16[/C][C]2466[/C][C]2159.94999800892[/C][C]11.1400832445387[/C][C]64.464013730499[/C][C]1.70827586330405[/C][/ROW]
[ROW][C]17[/C][C]2154[/C][C]2163.91736062963[/C][C]10.8630840591197[/C][C]2.46440825733971[/C][C]-0.086840065289077[/C][/ROW]
[ROW][C]18[/C][C]2289[/C][C]2218.10365431485[/C][C]12.4131555817080[/C][C]-5.74891867167232[/C][C]0.534950655984567[/C][/ROW]
[ROW][C]19[/C][C]2628[/C][C]2330.63375702498[/C][C]15.8043479617601[/C][C]117.697731107628[/C][C]1.25039984990017[/C][/ROW]
[ROW][C]20[/C][C]2074[/C][C]2281.12892131806[/C][C]13.6747461120318[/C][C]-88.9364967324584[/C][C]-0.821120371188022[/C][/ROW]
[ROW][C]21[/C][C]2798[/C][C]2439.38171610098[/C][C]18.2685801572995[/C][C]95.6644109911254[/C][C]1.82484521325883[/C][/ROW]
[ROW][C]22[/C][C]2194[/C][C]2371.67665578113[/C][C]15.5845803948641[/C][C]-20.8502603530585[/C][C]-1.08759196202597[/C][/ROW]
[ROW][C]23[/C][C]2442[/C][C]2402.09766035342[/C][C]16.0403872045896[/C][C]12.7851323731704[/C][C]0.187946057405880[/C][/ROW]
[ROW][C]24[/C][C]2565[/C][C]2464.69633364254[/C][C]17.3557492846899[/C][C]14.7035553913065[/C][C]0.591757011560477[/C][/ROW]
[ROW][C]25[/C][C]2063[/C][C]2402.01887979372[/C][C]18.2222123787923[/C][C]-177.687726262595[/C][C]-1.16201889448117[/C][/ROW]
[ROW][C]26[/C][C]2069[/C][C]2326.58218760525[/C][C]15.2844475949366[/C][C]-99.0895446452328[/C][C]-1.12782875331418[/C][/ROW]
[ROW][C]27[/C][C]2539[/C][C]2389.4105316299[/C][C]17.0512586925777[/C][C]71.9497540548032[/C][C]0.559463970507761[/C][/ROW]
[ROW][C]28[/C][C]1898[/C][C]2234.43182245384[/C][C]10.8830472682195[/C][C]-47.9082378101042[/C][C]-2.07243240584179[/C][/ROW]
[ROW][C]29[/C][C]2139[/C][C]2203.84386939866[/C][C]9.4801405110519[/C][C]6.41385312759767[/C][C]-0.509604565413696[/C][/ROW]
[ROW][C]30[/C][C]2408[/C][C]2275.62278236465[/C][C]11.4891012806336[/C][C]23.7125971053252[/C][C]0.774838753687826[/C][/ROW]
[ROW][C]31[/C][C]2725[/C][C]2381.13819449239[/C][C]14.4199471795924[/C][C]178.426969749659[/C][C]1.17753880719335[/C][/ROW]
[ROW][C]32[/C][C]2201[/C][C]2382.62664898416[/C][C]14.0258873333501[/C][C]-158.761635421280[/C][C]-0.162576001144295[/C][/ROW]
[ROW][C]33[/C][C]2311[/C][C]2336.75413416009[/C][C]12.2271520125757[/C][C]80.451777000753[/C][C]-0.754663194328951[/C][/ROW]
[ROW][C]34[/C][C]2548[/C][C]2409.99349635531[/C][C]14.0402137239295[/C][C]29.6518349396965[/C][C]0.769591630052417[/C][/ROW]
[ROW][C]35[/C][C]2276[/C][C]2384.49583283888[/C][C]12.8854315314510[/C][C]-38.1794947117766[/C][C]-0.499106278086742[/C][/ROW]
[ROW][C]36[/C][C]2351[/C][C]2368.58196306914[/C][C]12.1179081880454[/C][C]33.8808509422194[/C][C]-0.364557047304815[/C][/ROW]
[ROW][C]37[/C][C]2280[/C][C]2385.41613594782[/C][C]12.1725533680226[/C][C]-114.170130056734[/C][C]0.063399443341562[/C][/ROW]
[ROW][C]38[/C][C]2057[/C][C]2327.88737573754[/C][C]10.1592773979396[/C][C]-150.951401315467[/C][C]-0.861682006720261[/C][/ROW]
[ROW][C]39[/C][C]2479[/C][C]2336.65588903099[/C][C]10.1128392468197[/C][C]144.658733149978[/C][C]-0.0167790817292452[/C][/ROW]
[ROW][C]40[/C][C]2379[/C][C]2366.84995375234[/C][C]10.7818402290727[/C][C]-21.6273864467535[/C][C]0.244823544580364[/C][/ROW]
[ROW][C]41[/C][C]2295[/C][C]2360.04851760571[/C][C]10.2138029055493[/C][C]-35.0279408920613[/C][C]-0.217067870507476[/C][/ROW]
[ROW][C]42[/C][C]2456[/C][C]2395.72408709213[/C][C]11.0124437439252[/C][C]16.3582790116231[/C][C]0.316927589427486[/C][/ROW]
[ROW][C]43[/C][C]2546[/C][C]2395.63946382603[/C][C]10.6719550042110[/C][C]169.616043005943[/C][C]-0.138780287798058[/C][/ROW]
[ROW][C]44[/C][C]2844[/C][C]2573.44512693157[/C][C]15.7237965937197[/C][C]-20.4222636467289[/C][C]2.09555971322776[/C][/ROW]
[ROW][C]45[/C][C]2260[/C][C]2488.94555423471[/C][C]12.7249435159341[/C][C]-54.1387975858044[/C][C]-1.25832639425816[/C][/ROW]
[ROW][C]46[/C][C]2981[/C][C]2620.80684516328[/C][C]16.2577783919955[/C][C]152.180914523204[/C][C]1.49678019660481[/C][/ROW]
[ROW][C]47[/C][C]2678[/C][C]2665.76211759077[/C][C]17.0933551838880[/C][C]-37.9126994906149[/C][C]0.360646363977283[/C][/ROW]
[ROW][C]48[/C][C]3440[/C][C]2893.89911708092[/C][C]22.8360953038057[/C][C]176.393358059848[/C][C]2.65685016884167[/C][/ROW]
[ROW][C]49[/C][C]2842[/C][C]2938.73901089045[/C][C]23.2999949757211[/C][C]-135.972328396457[/C][C]0.285488905055748[/C][/ROW]
[ROW][C]50[/C][C]2450[/C][C]2862.0751534925[/C][C]20.4312235045217[/C][C]-239.749285256507[/C][C]-1.2464512490544[/C][/ROW]
[ROW][C]51[/C][C]2669[/C][C]2771.64253895017[/C][C]16.9208290995776[/C][C]83.7070981314688[/C][C]-1.35544153240520[/C][/ROW]
[ROW][C]52[/C][C]2570[/C][C]2720.3095386397[/C][C]14.7378155760905[/C][C]-35.2273139203102[/C][C]-0.83789219359093[/C][/ROW]
[ROW][C]53[/C][C]2540[/C][C]2684.96870346548[/C][C]13.1592177338961[/C][C]-59.7412705698716[/C][C]-0.619746752675726[/C][/ROW]
[ROW][C]54[/C][C]2318[/C][C]2581.02329613585[/C][C]9.53179944889732[/C][C]-62.2918662517905[/C][C]-1.45770808106484[/C][/ROW]
[ROW][C]55[/C][C]2930[/C][C]2645.2064582064[/C][C]11.2006842931147[/C][C]190.709487536901[/C][C]0.682599401332796[/C][/ROW]
[ROW][C]56[/C][C]2947[/C][C]2742.34627320136[/C][C]13.7979918751777[/C][C]56.356485028651[/C][C]1.07529534764335[/C][/ROW]
[ROW][C]57[/C][C]2799[/C][C]2804.96294559299[/C][C]15.2620634339766[/C][C]-90.308873023946[/C][C]0.611351643824623[/C][/ROW]
[ROW][C]58[/C][C]2695[/C][C]2753.50671652080[/C][C]13.2773246172922[/C][C]56.8339747241062[/C][C]-0.835723001540595[/C][/ROW]
[ROW][C]59[/C][C]2498[/C][C]2717.67540803193[/C][C]11.8393042714856[/C][C]-134.758462468735[/C][C]-0.615019709736363[/C][/ROW]
[ROW][C]60[/C][C]2260[/C][C]2538.55208320895[/C][C]6.48122319330301[/C][C]51.9076942854881[/C][C]-2.39408691438801[/C][/ROW]
[ROW][C]61[/C][C]2160[/C][C]2444.51040588726[/C][C]3.91682343995129[/C][C]-108.907279511997[/C][C]-1.28132608902420[/C][/ROW]
[ROW][C]62[/C][C]2058[/C][C]2381.63558023611[/C][C]1.97912774313349[/C][C]-208.704077553093[/C][C]-0.834914159066098[/C][/ROW]
[ROW][C]63[/C][C]2533[/C][C]2387.00112370285[/C][C]2.08351292572281[/C][C]140.274588778856[/C][C]0.0417188277800402[/C][/ROW]
[ROW][C]64[/C][C]2150[/C][C]2321.43473370249[/C][C]-0.0267652538521386[/C][C]-57.1136880869589[/C][C]-0.83422318567053[/C][/ROW]
[ROW][C]65[/C][C]2172[/C][C]2280.26567939317[/C][C]-1.30257983175175[/C][C]-38.3332987440948[/C][C]-0.510021742405173[/C][/ROW]
[ROW][C]66[/C][C]2155[/C][C]2265.18459602348[/C][C]-1.72562061020482[/C][C]-86.6433597727155[/C][C]-0.171533679977553[/C][/ROW]
[ROW][C]67[/C][C]3016[/C][C]2432.61357365038[/C][C]3.42098343655144[/C][C]293.449334128135[/C][C]2.11114338629866[/C][/ROW]
[ROW][C]68[/C][C]2333[/C][C]2405.67438384447[/C][C]2.50387041773582[/C][C]-20.5469214096226[/C][C]-0.37938121631614[/C][/ROW]
[ROW][C]69[/C][C]2355[/C][C]2409.24683041836[/C][C]2.53595760672286[/C][C]-56.082978349615[/C][C]0.0133590522323261[/C][/ROW]
[ROW][C]70[/C][C]2825[/C][C]2504.14560714921[/C][C]5.29069178689218[/C][C]162.118830888265[/C][C]1.15457646958223[/C][/ROW]
[ROW][C]71[/C][C]2214[/C][C]2448.36772685131[/C][C]3.49086567228421[/C][C]-129.449506415065[/C][C]-0.762977960121812[/C][/ROW]
[ROW][C]72[/C][C]2360[/C][C]2395.47726831333[/C][C]1.87037824929759[/C][C]61.3876679160496[/C][C]-0.7049564700646[/C][/ROW]
[ROW][C]73[/C][C]2299[/C][C]2388.72627942566[/C][C]1.63180812406517[/C][C]-74.8278683188769[/C][C]-0.108872620591849[/C][/ROW]
[ROW][C]74[/C][C]1746[/C][C]2262.54061257741[/C][C]-2.11810716165301[/C][C]-297.123617546189[/C][C]-1.5983244210972[/C][/ROW]
[ROW][C]75[/C][C]2069[/C][C]2146.88895379273[/C][C]-5.57044025139316[/C][C]114.635788765717[/C][C]-1.40492822372487[/C][/ROW]
[ROW][C]76[/C][C]2267[/C][C]2180.76661497741[/C][C]-4.3588718740703[/C][C]19.4486496620494[/C][C]0.487929812371759[/C][/ROW]
[ROW][C]77[/C][C]1878[/C][C]2105.32636872957[/C][C]-6.53802464069114[/C][C]-106.547545733590[/C][C]-0.882260019418131[/C][/ROW]
[ROW][C]78[/C][C]2266[/C][C]2182.61927647234[/C][C]-3.98197201754566[/C][C]-59.6009294012494[/C][C]1.04382230096728[/C][/ROW]
[ROW][C]79[/C][C]2282[/C][C]2127.31194626323[/C][C]-5.5380709547135[/C][C]242.443024553837[/C][C]-0.640299167523958[/C][/ROW]
[ROW][C]80[/C][C]2085[/C][C]2116.23987097918[/C][C]-5.70502810286925[/C][C]-21.7661479162565[/C][C]-0.0690976463676675[/C][/ROW]
[ROW][C]81[/C][C]2277[/C][C]2181.12587026067[/C][C]-3.58487897577327[/C][C]-25.0228625437212[/C][C]0.881533975400648[/C][/ROW]
[ROW][C]82[/C][C]2251[/C][C]2149.51279579999[/C][C]-4.42227990805325[/C][C]149.480722780880[/C][C]-0.349879948945289[/C][/ROW]
[ROW][C]83[/C][C]1828[/C][C]2082.95325012733[/C][C]-6.26343536482708[/C][C]-148.625383508770[/C][C]-0.77513685000886[/C][/ROW]
[ROW][C]84[/C][C]1954[/C][C]2014.26556831331[/C][C]-8.08688068608497[/C][C]46.5299202000564[/C][C]-0.779249442295863[/C][/ROW]
[ROW][C]85[/C][C]1851[/C][C]1962.56479013236[/C][C]-9.34124191358312[/C][C]-36.6467867227512[/C][C]-0.547937700483472[/C][/ROW]
[ROW][C]86[/C][C]1570[/C][C]1913.91562199681[/C][C]-10.5039318689200[/C][C]-276.581646333038[/C][C]-0.491356676252319[/C][/ROW]
[ROW][C]87[/C][C]1852[/C][C]1854.66245356543[/C][C]-11.9761274038354[/C][C]80.1482206233398[/C][C]-0.604852620666575[/C][/ROW]
[ROW][C]88[/C][C]2187[/C][C]1926.65233894198[/C][C]-9.42183871789272[/C][C]118.004728584497[/C][C]1.04071032819889[/C][/ROW]
[ROW][C]89[/C][C]1855[/C][C]1942.17187521455[/C][C]-8.66317904363502[/C][C]-129.549947334817[/C][C]0.309851790029715[/C][/ROW]
[ROW][C]90[/C][C]2218[/C][C]2029.58521290353[/C][C]-5.74918531485462[/C][C]24.7085047366001[/C][C]1.19648834672343[/C][/ROW]
[ROW][C]91[/C][C]2253[/C][C]2028.0418463014[/C][C]-5.6220658167709[/C][C]217.778033368776[/C][C]0.0524556287423158[/C][/ROW]
[ROW][C]92[/C][C]2028[/C][C]2036.97742852879[/C][C]-5.18352445364373[/C][C]-33.8528586311110[/C][C]0.181672706971415[/C][/ROW]
[ROW][C]93[/C][C]2169[/C][C]2074.26071609937[/C][C]-3.90838650949032[/C][C]22.1626334273218[/C][C]0.529927760982713[/C][/ROW]
[ROW][C]94[/C][C]1997[/C][C]2001.17639728716[/C][C]-5.9775820121492[/C][C]113.995851451709[/C][C]-0.862737707536558[/C][/ROW]
[ROW][C]95[/C][C]2034[/C][C]2036.48627363584[/C][C]-4.74936232318035[/C][C]-72.9593243639823[/C][C]0.514560753171482[/C][/ROW]
[ROW][C]96[/C][C]1791[/C][C]1946.62550762319[/C][C]-7.26110378739564[/C][C]-10.3763785558530[/C][C]-1.06144687649336[/C][/ROW]
[ROW][C]97[/C][C]1627[/C][C]1851.53088775974[/C][C]-9.83665587436138[/C][C]-74.179953205435[/C][C]-1.10020246269001[/C][/ROW]
[ROW][C]98[/C][C]1631[/C][C]1852.12836095423[/C][C]-9.52637354476888[/C][C]-238.971095626550[/C][C]0.130356243790705[/C][/ROW]
[ROW][C]99[/C][C]2319[/C][C]1966.08434302041[/C][C]-5.81027694954828[/C][C]142.966942318331[/C][C]1.53452832693994[/C][/ROW]
[ROW][C]100[/C][C]1707[/C][C]1867.11689864009[/C][C]-8.62772817697718[/C][C]-2.04662736199526[/C][C]-1.15625865151546[/C][/ROW]
[ROW][C]101[/C][C]1747[/C][C]1867.9135505837[/C][C]-8.34255613176523[/C][C]-136.927495684913[/C][C]0.117157091627650[/C][/ROW]
[ROW][C]102[/C][C]2397[/C][C]2007.44664374147[/C][C]-3.87464698898578[/C][C]137.742093047112[/C][C]1.84177777839206[/C][/ROW]
[ROW][C]103[/C][C]2059[/C][C]1969.18298054706[/C][C]-4.91149101521205[/C][C]148.466540089527[/C][C]-0.428827980104091[/C][/ROW]
[ROW][C]104[/C][C]2251[/C][C]2056.99571563387[/C][C]-2.12194795263664[/C][C]35.7578073675337[/C][C]1.15673309234974[/C][/ROW]
[ROW][C]105[/C][C]2558[/C][C]2192.07096253954[/C][C]1.99615022918312[/C][C]131.790756402553[/C][C]1.71115493565311[/C][/ROW]
[ROW][C]106[/C][C]2406[/C][C]2233.56519952296[/C][C]3.17856041062205[/C][C]105.066899044309[/C][C]0.492309840561236[/C][/ROW]
[ROW][C]107[/C][C]2049[/C][C]2197.84130388033[/C][C]2.01809952195158[/C][C]-82.5443521411148[/C][C]-0.48457406901269[/C][/ROW]
[ROW][C]108[/C][C]2074[/C][C]2157.89347190802[/C][C]0.771812322923348[/C][C]-12.3806992989925[/C][C]-0.523080327638101[/C][/ROW]
[ROW][C]109[/C][C]1734[/C][C]2060.01427650079[/C][C]-2.15025908393324[/C][C]-157.507899649222[/C][C]-1.23347114126401[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116880&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
118561856000
218341849.00401376043-0.866462741645097-2.24138791113759-0.0855674077443585
320951933.000068499017.9120739992435430.27390939581640.920814634266865
421642016.7127715875914.201114701833825.08213068910670.845563690284613
523682140.5320487657421.794875750635843.11668689245721.26237592739167
620722130.1663751034519.8617121680156-2.23569239351824-0.380016029024471
725212261.3628071483225.856199076803661.13871537217571.34112305919828
818232136.2966490087418.3915213148299-39.3565272526978-1.84344776585951
919472077.4848260211514.815016153619411.4390488237704-0.952346721962866
1022262126.3785505976716.315363492608636.41009956340550.423300385229205
1117542017.4707787144211.0194791721335-29.7247098481464-1.56298140119547
1217861944.126377248457.565171384286820.0591258798614192-1.05657203296087
1320721990.963283916244.2020392547632-16.16050830593000.710194717180928
1418461954.141027159932.44566442592975-44.0540259228977-0.453025048240505
1521372009.048774323184.9146879075032346.45907587968670.582652112027052
1624662159.9499980089211.140083244538764.4640137304991.70827586330405
1721542163.9173606296310.86308405911972.46440825733971-0.086840065289077
1822892218.1036543148512.4131555817080-5.748918671672320.534950655984567
1926282330.6337570249815.8043479617601117.6977311076281.25039984990017
2020742281.1289213180613.6747461120318-88.9364967324584-0.821120371188022
2127982439.3817161009818.268580157299595.66441099112541.82484521325883
2221942371.6766557811315.5845803948641-20.8502603530585-1.08759196202597
2324422402.0976603534216.040387204589612.78513237317040.187946057405880
2425652464.6963336425417.355749284689914.70355539130650.591757011560477
2520632402.0188797937218.2222123787923-177.687726262595-1.16201889448117
2620692326.5821876052515.2844475949366-99.0895446452328-1.12782875331418
2725392389.410531629917.051258692577771.94975405480320.559463970507761
2818982234.4318224538410.8830472682195-47.9082378101042-2.07243240584179
2921392203.843869398669.48014051105196.41385312759767-0.509604565413696
3024082275.6227823646511.489101280633623.71259710532520.774838753687826
3127252381.1381944923914.4199471795924178.4269697496591.17753880719335
3222012382.6266489841614.0258873333501-158.761635421280-0.162576001144295
3323112336.7541341600912.227152012575780.451777000753-0.754663194328951
3425482409.9934963553114.040213723929529.65183493969650.769591630052417
3522762384.4958328388812.8854315314510-38.1794947117766-0.499106278086742
3623512368.5819630691412.117908188045433.8808509422194-0.364557047304815
3722802385.4161359478212.1725533680226-114.1701300567340.063399443341562
3820572327.8873757375410.1592773979396-150.951401315467-0.861682006720261
3924792336.6558890309910.1128392468197144.658733149978-0.0167790817292452
4023792366.8499537523410.7818402290727-21.62738644675350.244823544580364
4122952360.0485176057110.2138029055493-35.0279408920613-0.217067870507476
4224562395.7240870921311.012443743925216.35827901162310.316927589427486
4325462395.6394638260310.6719550042110169.616043005943-0.138780287798058
4428442573.4451269315715.7237965937197-20.42226364672892.09555971322776
4522602488.9455542347112.7249435159341-54.1387975858044-1.25832639425816
4629812620.8068451632816.2577783919955152.1809145232041.49678019660481
4726782665.7621175907717.0933551838880-37.91269949061490.360646363977283
4834402893.8991170809222.8360953038057176.3933580598482.65685016884167
4928422938.7390108904523.2999949757211-135.9723283964570.285488905055748
5024502862.075153492520.4312235045217-239.749285256507-1.2464512490544
5126692771.6425389501716.920829099577683.7070981314688-1.35544153240520
5225702720.309538639714.7378155760905-35.2273139203102-0.83789219359093
5325402684.9687034654813.1592177338961-59.7412705698716-0.619746752675726
5423182581.023296135859.53179944889732-62.2918662517905-1.45770808106484
5529302645.206458206411.2006842931147190.7094875369010.682599401332796
5629472742.3462732013613.797991875177756.3564850286511.07529534764335
5727992804.9629455929915.2620634339766-90.3088730239460.611351643824623
5826952753.5067165208013.277324617292256.8339747241062-0.835723001540595
5924982717.6754080319311.8393042714856-134.758462468735-0.615019709736363
6022602538.552083208956.4812231933030151.9076942854881-2.39408691438801
6121602444.510405887263.91682343995129-108.907279511997-1.28132608902420
6220582381.635580236111.97912774313349-208.704077553093-0.834914159066098
6325332387.001123702852.08351292572281140.2745887788560.0417188277800402
6421502321.43473370249-0.0267652538521386-57.1136880869589-0.83422318567053
6521722280.26567939317-1.30257983175175-38.3332987440948-0.510021742405173
6621552265.18459602348-1.72562061020482-86.6433597727155-0.171533679977553
6730162432.613573650383.42098343655144293.4493341281352.11114338629866
6823332405.674383844472.50387041773582-20.5469214096226-0.37938121631614
6923552409.246830418362.53595760672286-56.0829783496150.0133590522323261
7028252504.145607149215.29069178689218162.1188308882651.15457646958223
7122142448.367726851313.49086567228421-129.449506415065-0.762977960121812
7223602395.477268313331.8703782492975961.3876679160496-0.7049564700646
7322992388.726279425661.63180812406517-74.8278683188769-0.108872620591849
7417462262.54061257741-2.11810716165301-297.123617546189-1.5983244210972
7520692146.88895379273-5.57044025139316114.635788765717-1.40492822372487
7622672180.76661497741-4.358871874070319.44864966204940.487929812371759
7718782105.32636872957-6.53802464069114-106.547545733590-0.882260019418131
7822662182.61927647234-3.98197201754566-59.60092940124941.04382230096728
7922822127.31194626323-5.5380709547135242.443024553837-0.640299167523958
8020852116.23987097918-5.70502810286925-21.7661479162565-0.0690976463676675
8122772181.12587026067-3.58487897577327-25.02286254372120.881533975400648
8222512149.51279579999-4.42227990805325149.480722780880-0.349879948945289
8318282082.95325012733-6.26343536482708-148.625383508770-0.77513685000886
8419542014.26556831331-8.0868806860849746.5299202000564-0.779249442295863
8518511962.56479013236-9.34124191358312-36.6467867227512-0.547937700483472
8615701913.91562199681-10.5039318689200-276.581646333038-0.491356676252319
8718521854.66245356543-11.976127403835480.1482206233398-0.604852620666575
8821871926.65233894198-9.42183871789272118.0047285844971.04071032819889
8918551942.17187521455-8.66317904363502-129.5499473348170.309851790029715
9022182029.58521290353-5.7491853148546224.70850473660011.19648834672343
9122532028.0418463014-5.6220658167709217.7780333687760.0524556287423158
9220282036.97742852879-5.18352445364373-33.85285863111100.181672706971415
9321692074.26071609937-3.9083865094903222.16263342732180.529927760982713
9419972001.17639728716-5.9775820121492113.995851451709-0.862737707536558
9520342036.48627363584-4.74936232318035-72.95932436398230.514560753171482
9617911946.62550762319-7.26110378739564-10.3763785558530-1.06144687649336
9716271851.53088775974-9.83665587436138-74.179953205435-1.10020246269001
9816311852.12836095423-9.52637354476888-238.9710956265500.130356243790705
9923191966.08434302041-5.81027694954828142.9669423183311.53452832693994
10017071867.11689864009-8.62772817697718-2.04662736199526-1.15625865151546
10117471867.9135505837-8.34255613176523-136.9274956849130.117157091627650
10223972007.44664374147-3.87464698898578137.7420930471121.84177777839206
10320591969.18298054706-4.91149101521205148.466540089527-0.428827980104091
10422512056.99571563387-2.1219479526366435.75780736753371.15673309234974
10525582192.070962539541.99615022918312131.7907564025531.71115493565311
10624062233.565199522963.17856041062205105.0668990443090.492309840561236
10720492197.841303880332.01809952195158-82.5443521411148-0.48457406901269
10820742157.893471908020.771812322923348-12.3806992989925-0.523080327638101
10917342060.01427650079-2.15025908393324-157.507899649222-1.23347114126401



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')