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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 computationFri, 27 Nov 2009 11:55:15 -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/2009/Nov/27/t1259348215v9ccijcb2aj6kwz.htm/, Retrieved Mon, 29 Apr 2024 23:18:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61125, Retrieved Mon, 29 Apr 2024 23:18:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Variance Reduction Matrix] [] [2009-11-27 18:55:15] [7cc673c2b3a8ab442a3ec6ca430f2445] [Current]
Feedback Forum
2009-12-04 21:24:00 [] [reply
volgens de conclusie geen seizoenale trend, maar wel kleinste variantie waarde bij d=1?

Post a new message
Dataseries X:
17.9
15.9
13.9
17.8
17.9
17.4
16.7
16
16.6
19.1
17.8
17.2
18.6
16.3
15.1
19.2
17.7
19.1
18
17.5
17.8
21.1
17.2
19.4
19.8
17.6
16.2
19.5
19.9
20
17.3
18.9
18.6
21.4
18.6
19.8
20.8
19.6
17.7
19.8
22.2
20.7
17.9
20.9
21.2
21.4
23
21.3
23.9
22.4
18.3
22.8
22.3
17.8
16.4
16
16.4
17.7
16.6
16.2
18.3




Summary of computational 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 computational 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=61125&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]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=61125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61125&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)4.61714207650273Range10Trim Var.2.79530920060332
V(Y[t],d=1,D=0)4.36605649717514Range9Trim Var.2.88786862334032
V(Y[t],d=2,D=0)11.4400876680304Range15.8Trim Var.7.7538824383164
V(Y[t],d=3,D=0)34.8284603750756Range26.9Trim Var.23.1930429864253
V(Y[t],d=0,D=1)5.69670918367347Range10.8Trim Var.3.09732004429679
V(Y[t],d=1,D=1)2.96857712765957Range7.8Trim Var.1.74190243902439
V(Y[t],d=2,D=1)9.54259019426456Range14.3Trim Var.5.88047560975609
V(Y[t],d=3,D=1)33.1726038647343Range26.1Trim Var.20.1304551282051
V(Y[t],d=0,D=2)10.5762012012012Range13.8Trim Var.6.10155303030303
V(Y[t],d=1,D=2)6.86482539682539Range11.3Trim Var.4.38894153225806
V(Y[t],d=2,D=2)22.7238655462185Range22.1Trim Var.14.2349892473118
V(Y[t],d=3,D=2)78.434661319073Range39.7Trim Var.48.1963333333333

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 4.61714207650273 & Range & 10 & Trim Var. & 2.79530920060332 \tabularnewline
V(Y[t],d=1,D=0) & 4.36605649717514 & Range & 9 & Trim Var. & 2.88786862334032 \tabularnewline
V(Y[t],d=2,D=0) & 11.4400876680304 & Range & 15.8 & Trim Var. & 7.7538824383164 \tabularnewline
V(Y[t],d=3,D=0) & 34.8284603750756 & Range & 26.9 & Trim Var. & 23.1930429864253 \tabularnewline
V(Y[t],d=0,D=1) & 5.69670918367347 & Range & 10.8 & Trim Var. & 3.09732004429679 \tabularnewline
V(Y[t],d=1,D=1) & 2.96857712765957 & Range & 7.8 & Trim Var. & 1.74190243902439 \tabularnewline
V(Y[t],d=2,D=1) & 9.54259019426456 & Range & 14.3 & Trim Var. & 5.88047560975609 \tabularnewline
V(Y[t],d=3,D=1) & 33.1726038647343 & Range & 26.1 & Trim Var. & 20.1304551282051 \tabularnewline
V(Y[t],d=0,D=2) & 10.5762012012012 & Range & 13.8 & Trim Var. & 6.10155303030303 \tabularnewline
V(Y[t],d=1,D=2) & 6.86482539682539 & Range & 11.3 & Trim Var. & 4.38894153225806 \tabularnewline
V(Y[t],d=2,D=2) & 22.7238655462185 & Range & 22.1 & Trim Var. & 14.2349892473118 \tabularnewline
V(Y[t],d=3,D=2) & 78.434661319073 & Range & 39.7 & Trim Var. & 48.1963333333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61125&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]4.61714207650273[/C][C]Range[/C][C]10[/C][C]Trim Var.[/C][C]2.79530920060332[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]4.36605649717514[/C][C]Range[/C][C]9[/C][C]Trim Var.[/C][C]2.88786862334032[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]11.4400876680304[/C][C]Range[/C][C]15.8[/C][C]Trim Var.[/C][C]7.7538824383164[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]34.8284603750756[/C][C]Range[/C][C]26.9[/C][C]Trim Var.[/C][C]23.1930429864253[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]5.69670918367347[/C][C]Range[/C][C]10.8[/C][C]Trim Var.[/C][C]3.09732004429679[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]2.96857712765957[/C][C]Range[/C][C]7.8[/C][C]Trim Var.[/C][C]1.74190243902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]9.54259019426456[/C][C]Range[/C][C]14.3[/C][C]Trim Var.[/C][C]5.88047560975609[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]33.1726038647343[/C][C]Range[/C][C]26.1[/C][C]Trim Var.[/C][C]20.1304551282051[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]10.5762012012012[/C][C]Range[/C][C]13.8[/C][C]Trim Var.[/C][C]6.10155303030303[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]6.86482539682539[/C][C]Range[/C][C]11.3[/C][C]Trim Var.[/C][C]4.38894153225806[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]22.7238655462185[/C][C]Range[/C][C]22.1[/C][C]Trim Var.[/C][C]14.2349892473118[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]78.434661319073[/C][C]Range[/C][C]39.7[/C][C]Trim Var.[/C][C]48.1963333333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61125&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)4.61714207650273Range10Trim Var.2.79530920060332
V(Y[t],d=1,D=0)4.36605649717514Range9Trim Var.2.88786862334032
V(Y[t],d=2,D=0)11.4400876680304Range15.8Trim Var.7.7538824383164
V(Y[t],d=3,D=0)34.8284603750756Range26.9Trim Var.23.1930429864253
V(Y[t],d=0,D=1)5.69670918367347Range10.8Trim Var.3.09732004429679
V(Y[t],d=1,D=1)2.96857712765957Range7.8Trim Var.1.74190243902439
V(Y[t],d=2,D=1)9.54259019426456Range14.3Trim Var.5.88047560975609
V(Y[t],d=3,D=1)33.1726038647343Range26.1Trim Var.20.1304551282051
V(Y[t],d=0,D=2)10.5762012012012Range13.8Trim Var.6.10155303030303
V(Y[t],d=1,D=2)6.86482539682539Range11.3Trim Var.4.38894153225806
V(Y[t],d=2,D=2)22.7238655462185Range22.1Trim Var.14.2349892473118
V(Y[t],d=3,D=2)78.434661319073Range39.7Trim Var.48.1963333333333



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')