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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module
Title produced by software
Date of computation
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/02/t1228242052qbh6toguz8p49n0.htm/, Retrieved Sat, 25 May 2024 03:31:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28210, Retrieved Sat, 25 May 2024 03:31:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [] [Q6 - 2e methode: ...] [-0001-11-30 00:00:00] [98255691c21504803b38711776845ae0] [Current]
Feedback Forum
2008-12-06 14:00:53 [Natalie De Wilde] [reply] 
Goed, we zien hier inderdaad dat de VRM dezelfde resultaten geeft als de ACF. We moeten er wel rekening mee houden dat dit een zeer ruwe manier van berekenen is,het is eenvoudig, we kunnen beter ACF gebruiken, maar dit is een goede controle.
De Trim Var zorgt ervoor dat de meest extreme variabelen weggelaten worden, de outliers hebben dan (geen)minder invloed op de tijdreeks.

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):