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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationThu, 29 Nov 2007 06:23:31 -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/Nov/29/t1196342033uzbugfnug8kbyxl.htm/, Retrieved Fri, 03 May 2024 09:13:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7464, Retrieved Fri, 03 May 2024 09:13:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInducing stationarity time series kleding en bont
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Case IV Question ...] [2007-11-29 13:23:31] [fd802f308f037a9692de8c23f8b60e49] [Current]
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Dataseries X:
73,8
55,2
54,4
80,8
88
74,5
55,1
47,2
54,2
70,6
78,5
77,1
56,6
39,8
44,1
66,9
75,3
74,9
48,8
37
49,8
63,2
75,9
68,5
49,2
40,3
38,6
54,2
70,6
68
43
42,3
47,7
57,7
75,8
57,2
43,6
40
35,9
59,5
72,7
70,9
44,9
44,5
48
60,4
71,8
63,2
32,4
33,9
24,2
64,7
73
61,7
31,9
30,8
36,7
47,4
54
41,1




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=7464&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]2 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=7464&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7464&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Variance Reduction Matrix
V(Y[t],d=0,D=0)236.228813559322Range63.8Trim Var.180.484150943396
V(Y[t],d=1,D=0)229.302524839275Range71.3Trim Var.151.547561683599
V(Y[t],d=2,D=0)342.817716273442Range86.9Trim Var.237.404807692308
V(Y[t],d=3,D=0)718.638239348371Range143.8Trim Var.401.623835294118
V(Y[t],d=0,D=1)47.7580141843972Range28.1Trim Var.32.1542450638792
V(Y[t],d=1,D=1)44.7208510638298Range34.1Trim Var.24.102743902439
V(Y[t],d=2,D=1)130.337357487923Range49.7Trim Var.76.1460256410256
V(Y[t],d=3,D=1)440.682858585858Range93.8Trim Var.256.227786774629
V(Y[t],d=0,D=2)108.951142857143Range46.1Trim Var.69.438377016129
V(Y[t],d=1,D=2)90.0491092436975Range44.1Trim Var.54.0563655913978
V(Y[t],d=2,D=2)266.269090909091Range77.4Trim Var.152.272241379310
V(Y[t],d=3,D=2)880.714678030302Range144.2Trim Var.488.013275862069

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 236.228813559322 & Range & 63.8 & Trim Var. & 180.484150943396 \tabularnewline
V(Y[t],d=1,D=0) & 229.302524839275 & Range & 71.3 & Trim Var. & 151.547561683599 \tabularnewline
V(Y[t],d=2,D=0) & 342.817716273442 & Range & 86.9 & Trim Var. & 237.404807692308 \tabularnewline
V(Y[t],d=3,D=0) & 718.638239348371 & Range & 143.8 & Trim Var. & 401.623835294118 \tabularnewline
V(Y[t],d=0,D=1) & 47.7580141843972 & Range & 28.1 & Trim Var. & 32.1542450638792 \tabularnewline
V(Y[t],d=1,D=1) & 44.7208510638298 & Range & 34.1 & Trim Var. & 24.102743902439 \tabularnewline
V(Y[t],d=2,D=1) & 130.337357487923 & Range & 49.7 & Trim Var. & 76.1460256410256 \tabularnewline
V(Y[t],d=3,D=1) & 440.682858585858 & Range & 93.8 & Trim Var. & 256.227786774629 \tabularnewline
V(Y[t],d=0,D=2) & 108.951142857143 & Range & 46.1 & Trim Var. & 69.438377016129 \tabularnewline
V(Y[t],d=1,D=2) & 90.0491092436975 & Range & 44.1 & Trim Var. & 54.0563655913978 \tabularnewline
V(Y[t],d=2,D=2) & 266.269090909091 & Range & 77.4 & Trim Var. & 152.272241379310 \tabularnewline
V(Y[t],d=3,D=2) & 880.714678030302 & Range & 144.2 & Trim Var. & 488.013275862069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7464&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]236.228813559322[/C][C]Range[/C][C]63.8[/C][C]Trim Var.[/C][C]180.484150943396[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]229.302524839275[/C][C]Range[/C][C]71.3[/C][C]Trim Var.[/C][C]151.547561683599[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]342.817716273442[/C][C]Range[/C][C]86.9[/C][C]Trim Var.[/C][C]237.404807692308[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]718.638239348371[/C][C]Range[/C][C]143.8[/C][C]Trim Var.[/C][C]401.623835294118[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]47.7580141843972[/C][C]Range[/C][C]28.1[/C][C]Trim Var.[/C][C]32.1542450638792[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]44.7208510638298[/C][C]Range[/C][C]34.1[/C][C]Trim Var.[/C][C]24.102743902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]130.337357487923[/C][C]Range[/C][C]49.7[/C][C]Trim Var.[/C][C]76.1460256410256[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]440.682858585858[/C][C]Range[/C][C]93.8[/C][C]Trim Var.[/C][C]256.227786774629[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]108.951142857143[/C][C]Range[/C][C]46.1[/C][C]Trim Var.[/C][C]69.438377016129[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]90.0491092436975[/C][C]Range[/C][C]44.1[/C][C]Trim Var.[/C][C]54.0563655913978[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]266.269090909091[/C][C]Range[/C][C]77.4[/C][C]Trim Var.[/C][C]152.272241379310[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]880.714678030302[/C][C]Range[/C][C]144.2[/C][C]Trim Var.[/C][C]488.013275862069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7464&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7464&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)236.228813559322Range63.8Trim Var.180.484150943396
V(Y[t],d=1,D=0)229.302524839275Range71.3Trim Var.151.547561683599
V(Y[t],d=2,D=0)342.817716273442Range86.9Trim Var.237.404807692308
V(Y[t],d=3,D=0)718.638239348371Range143.8Trim Var.401.623835294118
V(Y[t],d=0,D=1)47.7580141843972Range28.1Trim Var.32.1542450638792
V(Y[t],d=1,D=1)44.7208510638298Range34.1Trim Var.24.102743902439
V(Y[t],d=2,D=1)130.337357487923Range49.7Trim Var.76.1460256410256
V(Y[t],d=3,D=1)440.682858585858Range93.8Trim Var.256.227786774629
V(Y[t],d=0,D=2)108.951142857143Range46.1Trim Var.69.438377016129
V(Y[t],d=1,D=2)90.0491092436975Range44.1Trim Var.54.0563655913978
V(Y[t],d=2,D=2)266.269090909091Range77.4Trim Var.152.272241379310
V(Y[t],d=3,D=2)880.714678030302Range144.2Trim Var.488.013275862069



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')