ber die klassenwahl beim x2-anpassungstest
Authors:
Ingeborg Beier-K
chler - 1); Peter Neumann - 2)
chler - 1); Peter Neumann - 2)
DOI:
10.1080/02331887008801005
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(English)
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Abstract
As khown, the much used x2 goodness-of-fit test has the disadvantage that the division into classes thereby extensively follows according to the user's arbitrariness. For an optimal choice of classes Mann and Wald [10] recommended the use of power function of the x2 test. However, the restriction to the case of equiprobable classes and the high numbers of classes obtained thereby do not satisfy. By a more careful numerical analysis one can show that a much lower number of classes leads only to unimportant power losses. In this way, a thumb rule results for the practical man: At the level of significance
= 0,05 choice 16 classes, independently of the alternative. Furthermore, the optimal class division is in general not the equiprobable one, it can be found by using of dynamic programming.
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= 0,05 choice 16 classes, independently of the alternative. Furthermore, the optimal class division is in general not the equiprobable one, it can be found by using of dynamic programming.
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