Combining Independent Noncentral Chi Squared or F Tests

The problem of combining several independent Chi squared or F tests is considered. The data consist of n independent Chi squared or F variables on which tests of the null hypothesis that all noncentrality parameters are zero are based. In each case, necessary conditions and sufficient conditions for...

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Veröffentlicht in:	The Annals of statistics 1982-03, Vol.10 (1), p.266-277
1. Verfasser:	Marden, John I.
Format:	Artikel
Sprache:	eng
Schlagworte:	62C07 62C10 62C15 62H15 admissibility Chi squared variables combination procedures complete class Density F variables generalized Bayes tests Hypothesis tests Lebesgue measures Logistics Mathematical theorems Necessary conditions Observational research Probabilities Significance level significance levels Sufficient conditions
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