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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, 26 Nov 2009 08:13:39 -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/26/t125924849942saug75g1h40kb.htm/, Retrieved Sun, 28 Apr 2024 22:27:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60074, Retrieved Sun, 28 Apr 2024 22:27:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws8,vrm1
Estimated Impact157

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Variance Reduction Matrix] [] [2009-11-26 15:13:39] [30f5b608e5a1bbbae86b1702c0071566] [Current]
-   P     [Variance Reduction Matrix] [instelling gecorr...] [2009-11-27 23:00:20] [cd6314e7e707a6546bd4604c9d1f2b69]
-   P     [Variance Reduction Matrix] [review 8] [2009-11-30 20:15:00] [309ee52d0058ff0a6f7eec15e07b2d9f]
Feedback Forum
2009-11-27 23:04:14 [Joris Van Mol] [reply] 
Ook hier heb ik een verkeerde instelling opgemerkt. de 'seasonal period' stond ingesteld op 1 in plaats van 12. Waarschijnlijk daardoor het vreemde resultaat. Ik heb dit aangepast naar 12 en dit hier geblogd:

http://www.freestatistics.org/blog/index.php?v=date/2009/Nov/28/t1259362879uzp5he2adteq3sw.htm/

Nu is er wel degelijk een verschil en is d=1 en D=0 de enige best te gebruiken methode.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.3
1.2
1.1
1.4
1.2
1.5
1.1
1.3
1.5
1.1
1.4
1.3
1.5
1.6
1.7
1.1
1.6
1.3
1.7
1.6
1.7
1.9
1.8
1.9
1.6
1.5
1.6
1.6
1.7
2
2
1.9
1.7
1.8
1.9
1.7
2
2.1
2.4
2.5
2.5
2.6
2.2
2.5
2.8
2.8
2.9
3
3.1
2.9
2.7
2.2
2.5
2.3
2.6
2.3
2.2
1.8
1.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60074&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]1 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=60074&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60074&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)0.296160140268849Range2Trim Var.0.199207843137255
V(Y[t],d=1,D=0)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=2,D=0)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=3,D=0)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=0,D=1)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=1,D=1)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=2,D=1)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=3,D=1)2.26830303030303Range7.1Trim Var.1.49333333333333
V(Y[t],d=0,D=2)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=1,D=2)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=2,D=2)2.26830303030303Range7.1Trim Var.1.49333333333333
V(Y[t],d=3,D=2)8.55347658979734Range13.3Trim Var.5.61059840425532

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.296160140268849 & Range & 2 & Trim Var. & 0.199207843137255 \tabularnewline
V(Y[t],d=1,D=0) & 0.0604506957047792 & Range & 1.1 & Trim Var. & 0.0397874149659864 \tabularnewline
V(Y[t],d=2,D=0) & 0.172675438596491 & Range & 1.9 & Trim Var. & 0.097312925170068 \tabularnewline
V(Y[t],d=3,D=0) & 0.611220779220779 & Range & 3.7 & Trim Var. & 0.352548758865248 \tabularnewline
V(Y[t],d=0,D=1) & 0.0604506957047792 & Range & 1.1 & Trim Var. & 0.0397874149659864 \tabularnewline
V(Y[t],d=1,D=1) & 0.172675438596491 & Range & 1.9 & Trim Var. & 0.097312925170068 \tabularnewline
V(Y[t],d=2,D=1) & 0.611220779220779 & Range & 3.7 & Trim Var. & 0.352548758865248 \tabularnewline
V(Y[t],d=3,D=1) & 2.26830303030303 & Range & 7.1 & Trim Var. & 1.49333333333333 \tabularnewline
V(Y[t],d=0,D=2) & 0.172675438596491 & Range & 1.9 & Trim Var. & 0.097312925170068 \tabularnewline
V(Y[t],d=1,D=2) & 0.611220779220779 & Range & 3.7 & Trim Var. & 0.352548758865248 \tabularnewline
V(Y[t],d=2,D=2) & 2.26830303030303 & Range & 7.1 & Trim Var. & 1.49333333333333 \tabularnewline
V(Y[t],d=3,D=2) & 8.55347658979734 & Range & 13.3 & Trim Var. & 5.61059840425532 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60074&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.296160140268849[/C][C]Range[/C][C]2[/C][C]Trim Var.[/C][C]0.199207843137255[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.0604506957047792[/C][C]Range[/C][C]1.1[/C][C]Trim Var.[/C][C]0.0397874149659864[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.172675438596491[/C][C]Range[/C][C]1.9[/C][C]Trim Var.[/C][C]0.097312925170068[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.611220779220779[/C][C]Range[/C][C]3.7[/C][C]Trim Var.[/C][C]0.352548758865248[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.0604506957047792[/C][C]Range[/C][C]1.1[/C][C]Trim Var.[/C][C]0.0397874149659864[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.172675438596491[/C][C]Range[/C][C]1.9[/C][C]Trim Var.[/C][C]0.097312925170068[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.611220779220779[/C][C]Range[/C][C]3.7[/C][C]Trim Var.[/C][C]0.352548758865248[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2.26830303030303[/C][C]Range[/C][C]7.1[/C][C]Trim Var.[/C][C]1.49333333333333[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.172675438596491[/C][C]Range[/C][C]1.9[/C][C]Trim Var.[/C][C]0.097312925170068[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.611220779220779[/C][C]Range[/C][C]3.7[/C][C]Trim Var.[/C][C]0.352548758865248[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2.26830303030303[/C][C]Range[/C][C]7.1[/C][C]Trim Var.[/C][C]1.49333333333333[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]8.55347658979734[/C][C]Range[/C][C]13.3[/C][C]Trim Var.[/C][C]5.61059840425532[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60074&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60074&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)0.296160140268849Range2Trim Var.0.199207843137255
V(Y[t],d=1,D=0)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=2,D=0)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=3,D=0)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=0,D=1)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=1,D=1)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=2,D=1)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=3,D=1)2.26830303030303Range7.1Trim Var.1.49333333333333
V(Y[t],d=0,D=2)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=1,D=2)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=2,D=2)2.26830303030303Range7.1Trim Var.1.49333333333333
V(Y[t],d=3,D=2)8.55347658979734Range13.3Trim Var.5.61059840425532


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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')