Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 28 Nov 2007 12:20:37 -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/28/t1196277068vvjo2lgumunh9no.htm/, Retrieved Thu, 02 May 2024 06:21:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7241, Retrieved Thu, 02 May 2024 06:21:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInducing stationarity in time series
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 II] [2007-11-28 19:20:37] [fd802f308f037a9692de8c23f8b60e49] [Current]
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Dataseries X:
113,2
105,5
77,8
102,1
97
95,5
99,3
86,4
92,4
85,7
61,9
104,9
107,9
95,6
79,8
94,8
93,7
108,1
96,9
88,8
106,7
86,8
69,8
110,9
105,4
99,2
84,4
87,2
91,9
97,9
94,5
85
100,3
78,7
65,8
104,8
96
103,3
82,9
91,4
94,5
109,3
92,1
99,3
109,6
87,5
73,1
110,7
111,6
110,7
84
101,6
102,1
113,9
99
100,4
109,5
93
76,8
105,3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7241&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7241&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)148.817615819209Range52Trim Var.97.9930817610063
V(Y[t],d=1,D=0)291.771244886032Range70.7Trim Var.187.795370101597
V(Y[t],d=2,D=0)776.563266787659Range114.6Trim Var.498.356101960784
V(Y[t],d=3,D=0)2341.70053258145Range190.7Trim Var.1626.44883137255
V(Y[t],d=0,D=1)47.3944503546099Range25.8Trim Var.32.1431649245064
V(Y[t],d=1,D=1)62.6549953746531Range31.7Trim Var.39.451743902439
V(Y[t],d=2,D=1)197.957995169082Range61.4Trim Var.130.521
V(Y[t],d=3,D=1)666.668919191919Range105.3Trim Var.418.497746288799
V(Y[t],d=0,D=2)131.602944444444Range47.8Trim Var.82.8418951612903
V(Y[t],d=1,D=2)148.121462184874Range47.1Trim Var.103.181698924731
V(Y[t],d=2,D=2)482.500677361853Range85.9Trim Var.314.373057471264
V(Y[t],d=3,D=2)1700.3034280303Range154.6Trim Var.1167.17761083744

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 148.817615819209 & Range & 52 & Trim Var. & 97.9930817610063 \tabularnewline
V(Y[t],d=1,D=0) & 291.771244886032 & Range & 70.7 & Trim Var. & 187.795370101597 \tabularnewline
V(Y[t],d=2,D=0) & 776.563266787659 & Range & 114.6 & Trim Var. & 498.356101960784 \tabularnewline
V(Y[t],d=3,D=0) & 2341.70053258145 & Range & 190.7 & Trim Var. & 1626.44883137255 \tabularnewline
V(Y[t],d=0,D=1) & 47.3944503546099 & Range & 25.8 & Trim Var. & 32.1431649245064 \tabularnewline
V(Y[t],d=1,D=1) & 62.6549953746531 & Range & 31.7 & Trim Var. & 39.451743902439 \tabularnewline
V(Y[t],d=2,D=1) & 197.957995169082 & Range & 61.4 & Trim Var. & 130.521 \tabularnewline
V(Y[t],d=3,D=1) & 666.668919191919 & Range & 105.3 & Trim Var. & 418.497746288799 \tabularnewline
V(Y[t],d=0,D=2) & 131.602944444444 & Range & 47.8 & Trim Var. & 82.8418951612903 \tabularnewline
V(Y[t],d=1,D=2) & 148.121462184874 & Range & 47.1 & Trim Var. & 103.181698924731 \tabularnewline
V(Y[t],d=2,D=2) & 482.500677361853 & Range & 85.9 & Trim Var. & 314.373057471264 \tabularnewline
V(Y[t],d=3,D=2) & 1700.3034280303 & Range & 154.6 & Trim Var. & 1167.17761083744 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7241&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]148.817615819209[/C][C]Range[/C][C]52[/C][C]Trim Var.[/C][C]97.9930817610063[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]291.771244886032[/C][C]Range[/C][C]70.7[/C][C]Trim Var.[/C][C]187.795370101597[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]776.563266787659[/C][C]Range[/C][C]114.6[/C][C]Trim Var.[/C][C]498.356101960784[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2341.70053258145[/C][C]Range[/C][C]190.7[/C][C]Trim Var.[/C][C]1626.44883137255[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]47.3944503546099[/C][C]Range[/C][C]25.8[/C][C]Trim Var.[/C][C]32.1431649245064[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]62.6549953746531[/C][C]Range[/C][C]31.7[/C][C]Trim Var.[/C][C]39.451743902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]197.957995169082[/C][C]Range[/C][C]61.4[/C][C]Trim Var.[/C][C]130.521[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]666.668919191919[/C][C]Range[/C][C]105.3[/C][C]Trim Var.[/C][C]418.497746288799[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]131.602944444444[/C][C]Range[/C][C]47.8[/C][C]Trim Var.[/C][C]82.8418951612903[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]148.121462184874[/C][C]Range[/C][C]47.1[/C][C]Trim Var.[/C][C]103.181698924731[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]482.500677361853[/C][C]Range[/C][C]85.9[/C][C]Trim Var.[/C][C]314.373057471264[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1700.3034280303[/C][C]Range[/C][C]154.6[/C][C]Trim Var.[/C][C]1167.17761083744[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7241&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)148.817615819209Range52Trim Var.97.9930817610063
V(Y[t],d=1,D=0)291.771244886032Range70.7Trim Var.187.795370101597
V(Y[t],d=2,D=0)776.563266787659Range114.6Trim Var.498.356101960784
V(Y[t],d=3,D=0)2341.70053258145Range190.7Trim Var.1626.44883137255
V(Y[t],d=0,D=1)47.3944503546099Range25.8Trim Var.32.1431649245064
V(Y[t],d=1,D=1)62.6549953746531Range31.7Trim Var.39.451743902439
V(Y[t],d=2,D=1)197.957995169082Range61.4Trim Var.130.521
V(Y[t],d=3,D=1)666.668919191919Range105.3Trim Var.418.497746288799
V(Y[t],d=0,D=2)131.602944444444Range47.8Trim Var.82.8418951612903
V(Y[t],d=1,D=2)148.121462184874Range47.1Trim Var.103.181698924731
V(Y[t],d=2,D=2)482.500677361853Range85.9Trim Var.314.373057471264
V(Y[t],d=3,D=2)1700.3034280303Range154.6Trim Var.1167.17761083744



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')