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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 computationMon, 08 Dec 2008 12:40:44 -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/2008/Dec/08/t12287653234il31ipy1fxzv42.htm/, Retrieved Thu, 16 May 2024 15:15:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30852, Retrieved Thu, 16 May 2024 15:15:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
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] [42daae401fd3def69a25014f2252b4c2]
- RMPD  [(Partial) Autocorrelation Function] [Opdracht 1 - Blok...] [2008-12-02 21:26:11] [8094ad203a218aaca2d1cea2c78c2d6e]
- RMPD      [Variance Reduction Matrix] [Verbetering Q8 (3)] [2008-12-08 19:40:44] [1351baa662f198be3bff32f9007a9a6d] [Current]
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Dataseries X:
17
22
29
26
29
42
40
34
46
43
44
40
41
42
35
40
43
47
41
44
38
35
34
31
25
35
36
41
41
38
39
45
46
48
48
48
45
44
45
45
45
42
43
50
46
46
45
49
46
45
49
47
45
48
51
48
49
51
54
52
52
53
51
55
53
51
52
54
58
57
52
50
53
50
50
51
53
49
54
57
58
56
60
55
54
52
55
56
54
53
59
62
63
64
75
77
79
77
82
83
81
78
79
79
73
72




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=30852&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=30852&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30852&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)173.253908355795Range66Trim Var.92.7358727979867
V(Y[t],d=1,D=0)14.5595238095238Range20Trim Var.7.29336138382422
V(Y[t],d=2,D=0)33.5500373412995Range33Trim Var.14.6487722048067
V(Y[t],d=3,D=0)102.656006091757Range55Trim Var.54.7570207570208
V(Y[t],d=0,D=1)78.829215282544Range43Trim Var.40.8577235772358
V(Y[t],d=1,D=1)24.7092099111734Range27Trim Var.13.2059947105495
V(Y[t],d=2,D=1)54.7028189202102Range49Trim Var.25.9993827160494
V(Y[t],d=3,D=1)165.316971916972Range85Trim Var.70.9753326841934
V(Y[t],d=0,D=2)165.671333935562Range76Trim Var.86.6599597585513
V(Y[t],d=1,D=2)60.4280864197531Range45Trim Var.30.4177062374245
V(Y[t],d=2,D=2)125.619620253165Range61Trim Var.73.8073161189358
V(Y[t],d=3,D=2)380.209996754301Range99Trim Var.233.513480885312

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 173.253908355795 & Range & 66 & Trim Var. & 92.7358727979867 \tabularnewline
V(Y[t],d=1,D=0) & 14.5595238095238 & Range & 20 & Trim Var. & 7.29336138382422 \tabularnewline
V(Y[t],d=2,D=0) & 33.5500373412995 & Range & 33 & Trim Var. & 14.6487722048067 \tabularnewline
V(Y[t],d=3,D=0) & 102.656006091757 & Range & 55 & Trim Var. & 54.7570207570208 \tabularnewline
V(Y[t],d=0,D=1) & 78.829215282544 & Range & 43 & Trim Var. & 40.8577235772358 \tabularnewline
V(Y[t],d=1,D=1) & 24.7092099111734 & Range & 27 & Trim Var. & 13.2059947105495 \tabularnewline
V(Y[t],d=2,D=1) & 54.7028189202102 & Range & 49 & Trim Var. & 25.9993827160494 \tabularnewline
V(Y[t],d=3,D=1) & 165.316971916972 & Range & 85 & Trim Var. & 70.9753326841934 \tabularnewline
V(Y[t],d=0,D=2) & 165.671333935562 & Range & 76 & Trim Var. & 86.6599597585513 \tabularnewline
V(Y[t],d=1,D=2) & 60.4280864197531 & Range & 45 & Trim Var. & 30.4177062374245 \tabularnewline
V(Y[t],d=2,D=2) & 125.619620253165 & Range & 61 & Trim Var. & 73.8073161189358 \tabularnewline
V(Y[t],d=3,D=2) & 380.209996754301 & Range & 99 & Trim Var. & 233.513480885312 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30852&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]173.253908355795[/C][C]Range[/C][C]66[/C][C]Trim Var.[/C][C]92.7358727979867[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]14.5595238095238[/C][C]Range[/C][C]20[/C][C]Trim Var.[/C][C]7.29336138382422[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]33.5500373412995[/C][C]Range[/C][C]33[/C][C]Trim Var.[/C][C]14.6487722048067[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]102.656006091757[/C][C]Range[/C][C]55[/C][C]Trim Var.[/C][C]54.7570207570208[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]78.829215282544[/C][C]Range[/C][C]43[/C][C]Trim Var.[/C][C]40.8577235772358[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]24.7092099111734[/C][C]Range[/C][C]27[/C][C]Trim Var.[/C][C]13.2059947105495[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]54.7028189202102[/C][C]Range[/C][C]49[/C][C]Trim Var.[/C][C]25.9993827160494[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]165.316971916972[/C][C]Range[/C][C]85[/C][C]Trim Var.[/C][C]70.9753326841934[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]165.671333935562[/C][C]Range[/C][C]76[/C][C]Trim Var.[/C][C]86.6599597585513[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]60.4280864197531[/C][C]Range[/C][C]45[/C][C]Trim Var.[/C][C]30.4177062374245[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]125.619620253165[/C][C]Range[/C][C]61[/C][C]Trim Var.[/C][C]73.8073161189358[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]380.209996754301[/C][C]Range[/C][C]99[/C][C]Trim Var.[/C][C]233.513480885312[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30852&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30852&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)173.253908355795Range66Trim Var.92.7358727979867
V(Y[t],d=1,D=0)14.5595238095238Range20Trim Var.7.29336138382422
V(Y[t],d=2,D=0)33.5500373412995Range33Trim Var.14.6487722048067
V(Y[t],d=3,D=0)102.656006091757Range55Trim Var.54.7570207570208
V(Y[t],d=0,D=1)78.829215282544Range43Trim Var.40.8577235772358
V(Y[t],d=1,D=1)24.7092099111734Range27Trim Var.13.2059947105495
V(Y[t],d=2,D=1)54.7028189202102Range49Trim Var.25.9993827160494
V(Y[t],d=3,D=1)165.316971916972Range85Trim Var.70.9753326841934
V(Y[t],d=0,D=2)165.671333935562Range76Trim Var.86.6599597585513
V(Y[t],d=1,D=2)60.4280864197531Range45Trim Var.30.4177062374245
V(Y[t],d=2,D=2)125.619620253165Range61Trim Var.73.8073161189358
V(Y[t],d=3,D=2)380.209996754301Range99Trim Var.233.513480885312



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')