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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 computationSun, 21 Dec 2008 04:16:16 -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/21/t1229858226b9bxlm2rjgtl3n1.htm/, Retrieved Sun, 19 May 2024 10:51:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35499, Retrieved Sun, 19 May 2024 10:51:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM Paper Bel 20] [2008-12-21 11:16:16] [00a0a665d7a07edd2e460056b0c0c354] [Current]
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Dataseries X:
1995
1947
1766
1635
1833
1910
1960
1970
2061
2093
2121
2175
2197
2350
2440
2409
2473
2408
2455
2448
2498
2646
2757
2849
2921
2982
3081
3106
3119
3061
3097
3162
3257
3277
3295
3364
3494
3667
3813
3918
3896
3801
3570
3702
3862
3970
4139
4200
4291
4444
4503
4357
4591
4697
4621
4563
4203
4296
4435
4105
4117




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=35499&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=35499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35499&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)832645.817486339Range3062Trim Var.651255.433236575
V(Y[t],d=1,D=0)13504.6768361582Range594Trim Var.6528.35499650594
V(Y[t],d=2,D=0)23515.1203974284Range922Trim Var.10170.9034833091
V(Y[t],d=3,D=0)63258.5423472474Range1326Trim Var.25746.5592006033
V(Y[t],d=0,D=1)50931.3979591837Range1225Trim Var.19648.9224806202
V(Y[t],d=1,D=1)22115.5460992908Range791Trim Var.8190.84024390244
V(Y[t],d=2,D=1)31623.3024976873Range868Trim Var.11649.3439024390
V(Y[t],d=3,D=1)77450.0637681159Range1397Trim Var.30094.7173076923
V(Y[t],d=0,D=2)108649.133633634Range1549Trim Var.46650.8636363636
V(Y[t],d=1,D=2)43576.4849206349Range1007Trim Var.25403.8991935484
V(Y[t],d=2,D=2)57187.5932773109Range1301Trim Var.25208.423655914
V(Y[t],d=3,D=2)133771.180035651Range1682Trim Var.65118.240229885

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 832645.817486339 & Range & 3062 & Trim Var. & 651255.433236575 \tabularnewline
V(Y[t],d=1,D=0) & 13504.6768361582 & Range & 594 & Trim Var. & 6528.35499650594 \tabularnewline
V(Y[t],d=2,D=0) & 23515.1203974284 & Range & 922 & Trim Var. & 10170.9034833091 \tabularnewline
V(Y[t],d=3,D=0) & 63258.5423472474 & Range & 1326 & Trim Var. & 25746.5592006033 \tabularnewline
V(Y[t],d=0,D=1) & 50931.3979591837 & Range & 1225 & Trim Var. & 19648.9224806202 \tabularnewline
V(Y[t],d=1,D=1) & 22115.5460992908 & Range & 791 & Trim Var. & 8190.84024390244 \tabularnewline
V(Y[t],d=2,D=1) & 31623.3024976873 & Range & 868 & Trim Var. & 11649.3439024390 \tabularnewline
V(Y[t],d=3,D=1) & 77450.0637681159 & Range & 1397 & Trim Var. & 30094.7173076923 \tabularnewline
V(Y[t],d=0,D=2) & 108649.133633634 & Range & 1549 & Trim Var. & 46650.8636363636 \tabularnewline
V(Y[t],d=1,D=2) & 43576.4849206349 & Range & 1007 & Trim Var. & 25403.8991935484 \tabularnewline
V(Y[t],d=2,D=2) & 57187.5932773109 & Range & 1301 & Trim Var. & 25208.423655914 \tabularnewline
V(Y[t],d=3,D=2) & 133771.180035651 & Range & 1682 & Trim Var. & 65118.240229885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35499&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]832645.817486339[/C][C]Range[/C][C]3062[/C][C]Trim Var.[/C][C]651255.433236575[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]13504.6768361582[/C][C]Range[/C][C]594[/C][C]Trim Var.[/C][C]6528.35499650594[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]23515.1203974284[/C][C]Range[/C][C]922[/C][C]Trim Var.[/C][C]10170.9034833091[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]63258.5423472474[/C][C]Range[/C][C]1326[/C][C]Trim Var.[/C][C]25746.5592006033[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]50931.3979591837[/C][C]Range[/C][C]1225[/C][C]Trim Var.[/C][C]19648.9224806202[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]22115.5460992908[/C][C]Range[/C][C]791[/C][C]Trim Var.[/C][C]8190.84024390244[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]31623.3024976873[/C][C]Range[/C][C]868[/C][C]Trim Var.[/C][C]11649.3439024390[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]77450.0637681159[/C][C]Range[/C][C]1397[/C][C]Trim Var.[/C][C]30094.7173076923[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]108649.133633634[/C][C]Range[/C][C]1549[/C][C]Trim Var.[/C][C]46650.8636363636[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]43576.4849206349[/C][C]Range[/C][C]1007[/C][C]Trim Var.[/C][C]25403.8991935484[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]57187.5932773109[/C][C]Range[/C][C]1301[/C][C]Trim Var.[/C][C]25208.423655914[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]133771.180035651[/C][C]Range[/C][C]1682[/C][C]Trim Var.[/C][C]65118.240229885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35499&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)832645.817486339Range3062Trim Var.651255.433236575
V(Y[t],d=1,D=0)13504.6768361582Range594Trim Var.6528.35499650594
V(Y[t],d=2,D=0)23515.1203974284Range922Trim Var.10170.9034833091
V(Y[t],d=3,D=0)63258.5423472474Range1326Trim Var.25746.5592006033
V(Y[t],d=0,D=1)50931.3979591837Range1225Trim Var.19648.9224806202
V(Y[t],d=1,D=1)22115.5460992908Range791Trim Var.8190.84024390244
V(Y[t],d=2,D=1)31623.3024976873Range868Trim Var.11649.3439024390
V(Y[t],d=3,D=1)77450.0637681159Range1397Trim Var.30094.7173076923
V(Y[t],d=0,D=2)108649.133633634Range1549Trim Var.46650.8636363636
V(Y[t],d=1,D=2)43576.4849206349Range1007Trim Var.25403.8991935484
V(Y[t],d=2,D=2)57187.5932773109Range1301Trim Var.25208.423655914
V(Y[t],d=3,D=2)133771.180035651Range1682Trim Var.65118.240229885



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')