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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 18 Oct 2007 02:58:47 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/18/mmymb1ceu780zm21192701323.htm/, Retrieved Mon, 29 Apr 2024 00:52:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=961, Retrieved Mon, 29 Apr 2024 00:52:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsairline data, time series
Estimated Impact1111

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [8326296a4a969e220946fc6855491489] [Current]
- RMPD    [Classical Decomposition] [Vraag 1 taak] [2008-05-06 09:07:43] [f55e2157c8cda6a2c932317b75d303bc]
- RMPD    [Classical Decomposition] [vraag 1 taak] [2008-05-06 09:20:48] [f55e2157c8cda6a2c932317b75d303bc]
F RMPD    [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 16:18:39] [6fea0e9a9b3b29a63badf2c274e82506]
-           [(Partial) Autocorrelation Function] [] [2008-12-08 18:54:28] [888addc516c3b812dd7be4bd54caa358]
-           [(Partial) Autocorrelation Function] [] [2008-12-09 08:19:45] [888addc516c3b812dd7be4bd54caa358]
- RMPD    [(Partial) Autocorrelation Function] [Q6 ACF met trend ...] [2008-11-26 16:23:41] [6fea0e9a9b3b29a63badf2c274e82506]
F           [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 16:29:34] [6fea0e9a9b3b29a63badf2c274e82506]
F           [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 16:36:18] [6fea0e9a9b3b29a63badf2c274e82506]
-           [(Partial) Autocorrelation Function] [Q6 ACF met trend ...] [2008-11-26 16:51:27] [6fea0e9a9b3b29a63badf2c274e82506]
F             [(Partial) Autocorrelation Function] [Q6 ACF met trend ...] [2008-11-26 16:53:31] [6fea0e9a9b3b29a63badf2c274e82506]
F           [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 17:00:16] [6fea0e9a9b3b29a63badf2c274e82506]
F           [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 17:12:07] [6fea0e9a9b3b29a63badf2c274e82506]
F           [(Partial) Autocorrelation Function] [Q6 ACF zonder tre...] [2008-11-26 17:19:13] [6fea0e9a9b3b29a63badf2c274e82506]
F RMPD    [Standard Deviation-Mean Plot] [Q5 T7] [2008-11-26 17:05:43] [8eb83367d7ce233bbf617141d324189b]
F           [Standard Deviation-Mean Plot] [question 5 Standa...] [2008-12-01 22:19:48] [c29178f7f550574a75dc881e636e0923]
F RMPD    [Standard Deviation-Mean Plot] [] [2008-11-26 17:17:59] [74be16979710d4c4e7c6647856088456]
F RMPD    [(Partial) Autocorrelation Function] [non stationary ti...] [2008-11-26 17:23:27] [c65b85921bf03b2616bf1bee11088685]
-   P       [(Partial) Autocorrelation Function] [non stationary ti...] [2008-11-26 17:27:10] [c65b85921bf03b2616bf1bee11088685]
F   P         [(Partial) Autocorrelation Function] [non stationary ti...] [2008-11-26 17:29:17] [c65b85921bf03b2616bf1bee11088685]
- RMPD    [(Partial) Autocorrelation Function] [Q6 1] [2008-11-26 17:33:44] [8eb83367d7ce233bbf617141d324189b]
F           [(Partial) Autocorrelation Function] [question 6:Autoco...] [2008-12-01 22:23:37] [c29178f7f550574a75dc881e636e0923]
- RMPD    [(Partial) Autocorrelation Function] [Q6 2] [2008-11-26 17:38:47] [8eb83367d7ce233bbf617141d324189b]
-           [(Partial) Autocorrelation Function] [question 6 b Auto...] [2008-12-01 22:26:59] [c29178f7f550574a75dc881e636e0923]
- RMPD    [(Partial) Autocorrelation Function] [Q6 3] [2008-11-26 17:42:41] [8eb83367d7ce233bbf617141d324189b]
-           [(Partial) Autocorrelation Function] [question 6 c Auto...] [2008-12-01 22:28:50] [c29178f7f550574a75dc881e636e0923]
- RMPD    [Variance Reduction Matrix] [Q6 2.1] [2008-11-26 17:45:32] [8eb83367d7ce233bbf617141d324189b]
- RMPD    [Spectral Analysis] [Q6 3] [2008-11-26 17:51:19] [8eb83367d7ce233bbf617141d324189b]
-           [Spectral Analysis] [question 6 Spectr...] [2008-12-01 22:33:02] [c29178f7f550574a75dc881e636e0923]
F RMPD    [Spectral Analysis] [Q6 3.2] [2008-11-26 17:59:20] [8eb83367d7ce233bbf617141d324189b]
-           [Spectral Analysis] [question 6 d] [2008-12-01 22:35:01] [c29178f7f550574a75dc881e636e0923]
- RM D    [Standard Deviation-Mean Plot] [Opdracht 1 - Blok...] [2008-11-26 22:10:36] [8094ad203a218aaca2d1cea2c78c2d6e]
-   P       [Standard Deviation-Mean Plot] [Q5- Airline] [2008-11-28 13:14:59] [e5d91604aae608e98a8ea24759233f66]
F   P         [Standard Deviation-Mean Plot] [Q5-random walk] [2008-12-01 19:09:12] [e5d91604aae608e98a8ea24759233f66]
F RMPD        [Cross Correlation Function] [Q7-random walk (1)] [2008-12-01 19:13:02] [e5d91604aae608e98a8ea24759233f66]
F   PD          [Cross Correlation Function] [Q7-random walk (2)] [2008-12-01 19:15:28] [e5d91604aae608e98a8ea24759233f66]
- RM D    [Cross Correlation Function] [Opdracht 1 - Blok...] [2008-11-26 22:16:36] [8094ad203a218aaca2d1cea2c78c2d6e]
- RM D      [Standard Deviation-Mean Plot] [Opdracht 1 - Blok...] [2008-12-02 21:55:08] [8094ad203a218aaca2d1cea2c78c2d6e]
F    D      [Cross Correlation Function] [Opdracht 1 - Blok...] [2008-12-02 21:57:15] [8094ad203a218aaca2d1cea2c78c2d6e]
- RM D        [Variance Reduction Matrix] [Opdracht 1 - Blok...] [2008-12-02 22:00:09] [8094ad203a218aaca2d1cea2c78c2d6e]
- RMPD          [Cross Correlation Function] [Opdracht 1 - Blok...] [2008-12-08 17:35:51] [8094ad203a218aaca2d1cea2c78c2d6e]
-   PD            [Cross Correlation Function] [Verbetering Q9 (b...] [2008-12-08 20:51:45] [8094ad203a218aaca2d1cea2c78c2d6e]
-             [Cross Correlation Function] [Opdracht 1 - Blok...] [2008-12-02 22:03:42] [8094ad203a218aaca2d1cea2c78c2d6e]
F RMPD    [Standard Deviation-Mean Plot] [Q5-a] [2008-11-28 07:23:02] [c5a66f1c8528a963efc2b82a8519f117]
F RMPD    [(Partial) Autocorrelation Function] [Q6] [2008-11-28 07:36:39] [c5a66f1c8528a963efc2b82a8519f117]
F   P       [(Partial) Autocorrelation Function] [Q6] [2008-11-28 07:40:09] [c5a66f1c8528a963efc2b82a8519f117]
F   P         [(Partial) Autocorrelation Function] [Q6 (d=1, D=1)] [2008-11-28 07:43:18] [c5a66f1c8528a963efc2b82a8519f117]
-   P         [(Partial) Autocorrelation Function] [Verbetering Q6] [2008-12-05 20:00:42] [57850c80fd59ccfb28f882be994e814e]
-           [(Partial) Autocorrelation Function] [Q6] [2008-11-30 14:29:11] [a0d819c22534897f04a2f0b92f1eb36a]

[Truncated]
Feedback Forum
2008-12-06 15:02:32 [Sofie Sergoynne] [reply] 
goed antwoord van de student. Had ook nog kunnen vermelden dat er seizoenaliteit aanwezig is.
2008-12-06 18:14:39 [a2386b643d711541400692649981f2dc] [reply] 
Ook hier heb je de link gewoon gekopieerd van de opgave. Je uitleg is zeer beknopt. De Standard Deviation geeft het verband weer tussen de standaarddeviatie en het gemiddelde van de tijdreeks. Wanneer er een duidelijke positieve of negatieve relatie bestaat dan zijn de standaardfouten geen constanten en is er dus geen sprake van een stationaire tijdreeks.
2008-12-08 15:11:18 [Kevin Vermeiren] [reply] 
Het klopt dat de spreiding in de grafiek niet constant is. Er is sprake van seizoenaliteit. Verder is het juist dat we de reeks gaan stationair maken (trend er uit halen en de spreiding gelijk maken). Om dit te doen hebben we de beste waarde voor lambda nodig.
2008-12-08 16:07:27 [Jonas Scheltjens] [reply] 

Hier gaat de student volledig de mist in. De juiste berekening werd niet gemaakt. Indien dit wel had gebeurd, kunnen we in de grafiek een positief verband herkennen. Uit de tabel kunnen we vervolgens de beste lambda waarde bekomen, dewelke we kunnen vertrouwen aangezien de p-waarde zeer klein is en kleiner is dan 0.05. We kunnen dan stellen de beste lambda waarde om te differentiëren de waarde -0.31 bedraagt.
2008-12-09 19:50:42 [d41d8cd98f00b204e9800998ecf8427e] [reply] 
in orde

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=961&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=961&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Univariate Dataseries
Name of dataseriesAirline
SourceBox-Jenkins
DescriptionAirline Passengers
Number of observations144

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Airline \tabularnewline
Source & Box-Jenkins \tabularnewline
Description & Airline Passengers \tabularnewline
Number of observations & 144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=961&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Airline[/C][/ROW]
[ROW][C]Source[/C][C]Box-Jenkins[/C][/ROW]
[ROW][C]Description[/C][C]Airline Passengers[/C][/ROW]
[ROW][C]Number of observations[/C][C]144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=961&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Univariate Dataseries
Name of dataseriesAirline
SourceBox-Jenkins
DescriptionAirline Passengers
Number of observations144


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Airline ; par2 = Box-Jenkins ; par3 = Airline Passengers ;
Parameters (R input):
par1 = Airline ; par2 = Box-Jenkins ; par3 = Airline Passengers ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')