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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 01 Dec 2008 01:54:47 -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/01/t12281217356bi26h0mo4g48pw.htm/, Retrieved Sun, 05 May 2024 17:05:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=26819, Retrieved Sun, 05 May 2024 17:05:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ5
Estimated Impact222

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
F    D    [Univariate Data Series] [Q5] [2008-12-01 08:54:47] [783db4b4a0f63b73ca8b14666b7f4329] [Current]
- RMP       [Standard Deviation-Mean Plot] [verbetering Q5] [2008-12-08 09:48:22] [5161246d1ccc1b670cc664d03050f084]
Feedback Forum
2008-12-08 09:53:54 [Niels Herremans] [reply] 
Je hebt hier een verkeerde berekening gemaakt. Je moiet hier de Standard deviation Mean Plot gebruiken. Dit is de correcte bereking: http://www.freestatistics.org/blog/index.php?v=date/2008/Dec/08/t1228729747ynf00coekrrlw4e.htm

De lambda waarde moet -0,312... zijn om naar een betere spreiding te gaan.

2008-12-08 17:35:14 [Jeroen Michel] [reply] 
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/07/t1228658897n6y70goiv68wdwy.htm, Retrieved Sun, 07 Dec 2008 14:08:22 +0000

Bovenstaande link geeft u mijn berekening weer. De berekening die u maakt is een foutieve berekening. De regressie die te zien kan verklaren wat de standaardfout, dit door het gegeven gemiddelde. Er is een lambda van -0,31 om de spreiding optimaal te stabiliseren. Om de spreiding te stabiliseren, zijn er 2 transformaties nodig.
2008-12-08 19:51:43 [Michaël De Kuyer] [reply] 
Inderdaad een verkeerde berekening.

Aan de hand van de eerste tabel kunnen we vaststellen dat het gemiddelde jaar na jaar toeneemt. Dit is eveneens zo bij de standaardafwijking. Een mogelijke verklaring is dat het aantal reizigers stijgt. De nieuwe reizigers hebben hetzelfde reispatroon, waardoor de sterke maanden nog sterker worden en de zwakke maanden nog zwakker. De lambdawaarde kan deze volatiliteit, die aanwezig is in de tijdreeks, egaliseren. Hierdoor zal de variantie stationair worden (d.i. minder afhankelijk van de tijd worden gesteld).

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=26819&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=26819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=26819&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Univariate Dataseries
Name of dataseriesAirline
SourceBox-Jenkins
DescriptionAirline Passengers
Number of observations144

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Airline \tabularnewline
Source & Box-Jenkins \tabularnewline
Description & Airline Passengers \tabularnewline
Number of observations & 144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=26819&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Airline[/C][/ROW]
[ROW][C]Source[/C][C]Box-Jenkins[/C][/ROW]
[ROW][C]Description[/C][C]Airline Passengers[/C][/ROW]
[ROW][C]Number of observations[/C][C]144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=26819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=26819&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:

Univariate Dataseries
Name of dataseriesAirline
SourceBox-Jenkins
DescriptionAirline Passengers
Number of observations144


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Airline ; par2 = Box-Jenkins ; par3 = Airline Passengers ;
Parameters (R input):
par1 = Airline ; par2 = Box-Jenkins ; par3 = Airline Passengers ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')