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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 22 Dec 2010 14:16:32 +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/22/t129302727198pn6sjecn0tvay.htm/, Retrieved Mon, 06 May 2024 09:25:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114232, Retrieved Mon, 06 May 2024 09:25:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Variance Reduction Matrix] [WS9 - Variance Re...] [2010-12-04 11:04:59] [8ef49741e164ec6343c90c7935194465]
-   P     [Variance Reduction Matrix] [WS 9 VRM] [2010-12-05 14:01:21] [8214fe6d084e5ad7598b249a26cc9f06]
-    D      [Variance Reduction Matrix] [paper VRM ] [2010-12-10 10:35:54] [8214fe6d084e5ad7598b249a26cc9f06]
-    D        [Variance Reduction Matrix] [vrm] [2010-12-20 19:36:17] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD          [Variance Reduction Matrix] [vrm laaggeschoolden] [2010-12-21 19:19:07] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD            [Variance Reduction Matrix] [vrm middengeschoo...] [2010-12-22 14:11:28] [8214fe6d084e5ad7598b249a26cc9f06]
-    D                [Variance Reduction Matrix] [vrm hooggeschoolden] [2010-12-22 14:16:32] [b47314d83d48c7bf812ec2bcd743b159] [Current]
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Dataseries X:
19246
17549
16428
16209
15235
16186
24971
30776
26416
23157
20155
19790
18849
17573
16597
16158
15507
16433
26325
31144
30535
27596
24064
23854
22407
21125
20226
19547
18933
20372
34331
37329
36761
32737
29321
28883
27436
25101
23776
23782
23027
25606
41328
44751
42855
37628
33544
33275
32009
30813
29143
28121
27007
29112
44067
48481
46581
41166
36824
35936
33633
31630
30434
28546
27660
29830
45599
49303
44417
40386
35544
35019
30400
29602
27701
27937
27283
29372
42821
45386
40170
34371
30077
29251
27202
25714
23784
22968
22243
24255
37282
38794
31828
27949
24605
25695
23338
21941
22034
20637
19418
22454
33261
34995
29132
26171
23828
25743
25204
25679
25281
25136
24794
28278
40062
42590
37885
34061
32412
34647
31750
31288
29331
28768
27780
30113
41240
43271
38108
34382
31551




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114232&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]1 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=114232&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114232&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)63757520.0093952Range34068Trim Var.43048752.4071618
V(Y[t],d=1,D=0)20704354.4916518Range22735Trim Var.8890366.68868066
V(Y[t],d=2,D=0)26218726.9167878Range25898Trim Var.12832407.9699466
V(Y[t],d=3,D=0)56446945.8739542Range37229Trim Var.22961274.6338302
V(Y[t],d=0,D=1)16249829.5641646Range17246Trim Var.11864111.8070887
V(Y[t],d=1,D=1)1310113.32869767Range7053Trim Var.668886.683557951
V(Y[t],d=2,D=1)2637353.41836133Range10625Trim Var.1304274.67161172
V(Y[t],d=3,D=1)8373179.75832084Range17192Trim Var.4214137.60707618
V(Y[t],d=0,D=2)19504961.9619115Range20894Trim Var.11693285.0152296
V(Y[t],d=1,D=2)2873319.00700809Range9062Trim Var.1698238.19263326
V(Y[t],d=2,D=2)6298718.56538462Range12331Trim Var.3982553.02454418
V(Y[t],d=3,D=2)19908748.3345780Range22339Trim Var.12465118.8680124

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 63757520.0093952 & Range & 34068 & Trim Var. & 43048752.4071618 \tabularnewline
V(Y[t],d=1,D=0) & 20704354.4916518 & Range & 22735 & Trim Var. & 8890366.68868066 \tabularnewline
V(Y[t],d=2,D=0) & 26218726.9167878 & Range & 25898 & Trim Var. & 12832407.9699466 \tabularnewline
V(Y[t],d=3,D=0) & 56446945.8739542 & Range & 37229 & Trim Var. & 22961274.6338302 \tabularnewline
V(Y[t],d=0,D=1) & 16249829.5641646 & Range & 17246 & Trim Var. & 11864111.8070887 \tabularnewline
V(Y[t],d=1,D=1) & 1310113.32869767 & Range & 7053 & Trim Var. & 668886.683557951 \tabularnewline
V(Y[t],d=2,D=1) & 2637353.41836133 & Range & 10625 & Trim Var. & 1304274.67161172 \tabularnewline
V(Y[t],d=3,D=1) & 8373179.75832084 & Range & 17192 & Trim Var. & 4214137.60707618 \tabularnewline
V(Y[t],d=0,D=2) & 19504961.9619115 & Range & 20894 & Trim Var. & 11693285.0152296 \tabularnewline
V(Y[t],d=1,D=2) & 2873319.00700809 & Range & 9062 & Trim Var. & 1698238.19263326 \tabularnewline
V(Y[t],d=2,D=2) & 6298718.56538462 & Range & 12331 & Trim Var. & 3982553.02454418 \tabularnewline
V(Y[t],d=3,D=2) & 19908748.3345780 & Range & 22339 & Trim Var. & 12465118.8680124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114232&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]63757520.0093952[/C][C]Range[/C][C]34068[/C][C]Trim Var.[/C][C]43048752.4071618[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]20704354.4916518[/C][C]Range[/C][C]22735[/C][C]Trim Var.[/C][C]8890366.68868066[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]26218726.9167878[/C][C]Range[/C][C]25898[/C][C]Trim Var.[/C][C]12832407.9699466[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]56446945.8739542[/C][C]Range[/C][C]37229[/C][C]Trim Var.[/C][C]22961274.6338302[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]16249829.5641646[/C][C]Range[/C][C]17246[/C][C]Trim Var.[/C][C]11864111.8070887[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1310113.32869767[/C][C]Range[/C][C]7053[/C][C]Trim Var.[/C][C]668886.683557951[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]2637353.41836133[/C][C]Range[/C][C]10625[/C][C]Trim Var.[/C][C]1304274.67161172[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]8373179.75832084[/C][C]Range[/C][C]17192[/C][C]Trim Var.[/C][C]4214137.60707618[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]19504961.9619115[/C][C]Range[/C][C]20894[/C][C]Trim Var.[/C][C]11693285.0152296[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]2873319.00700809[/C][C]Range[/C][C]9062[/C][C]Trim Var.[/C][C]1698238.19263326[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]6298718.56538462[/C][C]Range[/C][C]12331[/C][C]Trim Var.[/C][C]3982553.02454418[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]19908748.3345780[/C][C]Range[/C][C]22339[/C][C]Trim Var.[/C][C]12465118.8680124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114232&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114232&T=1

As an alternative you can also use a QR Code:  

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

Variance Reduction Matrix
V(Y[t],d=0,D=0)63757520.0093952Range34068Trim Var.43048752.4071618
V(Y[t],d=1,D=0)20704354.4916518Range22735Trim Var.8890366.68868066
V(Y[t],d=2,D=0)26218726.9167878Range25898Trim Var.12832407.9699466
V(Y[t],d=3,D=0)56446945.8739542Range37229Trim Var.22961274.6338302
V(Y[t],d=0,D=1)16249829.5641646Range17246Trim Var.11864111.8070887
V(Y[t],d=1,D=1)1310113.32869767Range7053Trim Var.668886.683557951
V(Y[t],d=2,D=1)2637353.41836133Range10625Trim Var.1304274.67161172
V(Y[t],d=3,D=1)8373179.75832084Range17192Trim Var.4214137.60707618
V(Y[t],d=0,D=2)19504961.9619115Range20894Trim Var.11693285.0152296
V(Y[t],d=1,D=2)2873319.00700809Range9062Trim Var.1698238.19263326
V(Y[t],d=2,D=2)6298718.56538462Range12331Trim Var.3982553.02454418
V(Y[t],d=3,D=2)19908748.3345780Range22339Trim Var.12465118.8680124



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
n <- length(x)
sx <- sort(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Reduction Matrix',6,TRUE)
a<-table.row.end(a)
for (bigd in 0:2) {
for (smalld in 0:3) {
mylabel <- 'V(Y[t],d='
mylabel <- paste(mylabel,as.character(smalld),sep='')
mylabel <- paste(mylabel,',D=',sep='')
mylabel <- paste(mylabel,as.character(bigd),sep='')
mylabel <- paste(mylabel,')',sep='')
a<-table.row.start(a)
a<-table.element(a,mylabel,header=TRUE)
myx <- x
if (smalld > 0) myx <- diff(x,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,var(myx))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,max(myx)-min(myx))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')