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Description of Statistical Computation

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 computationThu, 02 Dec 2010 17:12:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/02/t1291309828niqdueaqt8uvpkp.htm/, Retrieved Sun, 05 May 2024 15:24:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104360, Retrieved Sun, 05 May 2024 15:24:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD    [Variance Reduction Matrix] [Variance reductio...] [2010-12-02 17:12:02] [c1f1b5e209adb4577289f490325e36f2] [Current]
-    D      [Variance Reduction Matrix] [Variance reductio...] [2010-12-02 17:20:47] [717f3d787904f94c39256c5c1fc72d4c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.3031
1.3241
1.2961
1.2865
1.2305
1.2101
1.2125
1.2350
1.2014
1.1992
1.1791
1.1832
1.2159
1.1922
1.2114
1.2614
1.2812
1.2786
1.2772
1.2815
1.2679
1.2765
1.3247
1.3191
1.3029
1.3234
1.3354
1.3651
1.3453
1.3534
1.3706
1.3638
1.4268
1.4485
1.4635
1.4587
1.4876
1.5189
1.5783
1.5633
1.5554
1.5757
1.5593
1.4660
1.4065
1.2759
1.2705
1.3954
1.2793
1.2694
1.3282
1.3230
1.4135
1.4042
1.4253
1.4322
1.4632
1.4713
1.5016
1.4318

Tables (Output of Computation)





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=104360&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=104360&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104360&T=0

As an alternative you can also use a QR Code:  
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)0.0123270277514124Range0.3992Trim Var.0.00936358631726066
V(Y[t],d=1,D=0)0.00181507637054354Range0.2555Trim Var.0.000728310870827287
V(Y[t],d=2,D=0)0.00355614300060497Range0.3713Trim Var.0.00158523710407240
V(Y[t],d=3,D=0)0.0103189210588973Range0.7185Trim Var.0.00399135313725492
V(Y[t],d=0,D=1)0.0205270751595745Range0.493Trim Var.0.0147782079210221
V(Y[t],d=1,D=1)0.00468284344125810Range0.3334Trim Var.0.00215049039024391
V(Y[t],d=2,D=1)0.00678165265700484Range0.4248Trim Var.0.00281529507051283
V(Y[t],d=3,D=1)0.0154801674040404Range0.8033Trim Var.0.00589289260458841
V(Y[t],d=0,D=2)0.0585462128571429Range0.9171Trim Var.0.0418729039415323
V(Y[t],d=1,D=2)0.0142555621008403Range0.6154Trim Var.0.00699413131182795
V(Y[t],d=2,D=2)0.0167029643582888Range0.5587Trim Var.0.00892494998850576
V(Y[t],d=3,D=2)0.0303024848484849Range0.89220Trim Var.0.0148512830541872

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.0123270277514124 & Range & 0.3992 & Trim Var. & 0.00936358631726066 \tabularnewline
V(Y[t],d=1,D=0) & 0.00181507637054354 & Range & 0.2555 & Trim Var. & 0.000728310870827287 \tabularnewline
V(Y[t],d=2,D=0) & 0.00355614300060497 & Range & 0.3713 & Trim Var. & 0.00158523710407240 \tabularnewline
V(Y[t],d=3,D=0) & 0.0103189210588973 & Range & 0.7185 & Trim Var. & 0.00399135313725492 \tabularnewline
V(Y[t],d=0,D=1) & 0.0205270751595745 & Range & 0.493 & Trim Var. & 0.0147782079210221 \tabularnewline
V(Y[t],d=1,D=1) & 0.00468284344125810 & Range & 0.3334 & Trim Var. & 0.00215049039024391 \tabularnewline
V(Y[t],d=2,D=1) & 0.00678165265700484 & Range & 0.4248 & Trim Var. & 0.00281529507051283 \tabularnewline
V(Y[t],d=3,D=1) & 0.0154801674040404 & Range & 0.8033 & Trim Var. & 0.00589289260458841 \tabularnewline
V(Y[t],d=0,D=2) & 0.0585462128571429 & Range & 0.9171 & Trim Var. & 0.0418729039415323 \tabularnewline
V(Y[t],d=1,D=2) & 0.0142555621008403 & Range & 0.6154 & Trim Var. & 0.00699413131182795 \tabularnewline
V(Y[t],d=2,D=2) & 0.0167029643582888 & Range & 0.5587 & Trim Var. & 0.00892494998850576 \tabularnewline
V(Y[t],d=3,D=2) & 0.0303024848484849 & Range & 0.89220 & Trim Var. & 0.0148512830541872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104360&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.0123270277514124[/C][C]Range[/C][C]0.3992[/C][C]Trim Var.[/C][C]0.00936358631726066[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.00181507637054354[/C][C]Range[/C][C]0.2555[/C][C]Trim Var.[/C][C]0.000728310870827287[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.00355614300060497[/C][C]Range[/C][C]0.3713[/C][C]Trim Var.[/C][C]0.00158523710407240[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.0103189210588973[/C][C]Range[/C][C]0.7185[/C][C]Trim Var.[/C][C]0.00399135313725492[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.0205270751595745[/C][C]Range[/C][C]0.493[/C][C]Trim Var.[/C][C]0.0147782079210221[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.00468284344125810[/C][C]Range[/C][C]0.3334[/C][C]Trim Var.[/C][C]0.00215049039024391[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.00678165265700484[/C][C]Range[/C][C]0.4248[/C][C]Trim Var.[/C][C]0.00281529507051283[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.0154801674040404[/C][C]Range[/C][C]0.8033[/C][C]Trim Var.[/C][C]0.00589289260458841[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.0585462128571429[/C][C]Range[/C][C]0.9171[/C][C]Trim Var.[/C][C]0.0418729039415323[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.0142555621008403[/C][C]Range[/C][C]0.6154[/C][C]Trim Var.[/C][C]0.00699413131182795[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.0167029643582888[/C][C]Range[/C][C]0.5587[/C][C]Trim Var.[/C][C]0.00892494998850576[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.0303024848484849[/C][C]Range[/C][C]0.89220[/C][C]Trim Var.[/C][C]0.0148512830541872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104360&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104360&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)0.0123270277514124Range0.3992Trim Var.0.00936358631726066
V(Y[t],d=1,D=0)0.00181507637054354Range0.2555Trim Var.0.000728310870827287
V(Y[t],d=2,D=0)0.00355614300060497Range0.3713Trim Var.0.00158523710407240
V(Y[t],d=3,D=0)0.0103189210588973Range0.7185Trim Var.0.00399135313725492
V(Y[t],d=0,D=1)0.0205270751595745Range0.493Trim Var.0.0147782079210221
V(Y[t],d=1,D=1)0.00468284344125810Range0.3334Trim Var.0.00215049039024391
V(Y[t],d=2,D=1)0.00678165265700484Range0.4248Trim Var.0.00281529507051283
V(Y[t],d=3,D=1)0.0154801674040404Range0.8033Trim Var.0.00589289260458841
V(Y[t],d=0,D=2)0.0585462128571429Range0.9171Trim Var.0.0418729039415323
V(Y[t],d=1,D=2)0.0142555621008403Range0.6154Trim Var.0.00699413131182795
V(Y[t],d=2,D=2)0.0167029643582888Range0.5587Trim Var.0.00892494998850576
V(Y[t],d=3,D=2)0.0303024848484849Range0.89220Trim Var.0.0148512830541872


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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')