Improvements of goodness-of-fit statistics for sparse multinomials based on normalizing transformations
In: Annals of the Institute of Statistical Mathematics, Jg. 55 (2003), Heft 4, S. 831-848
Online
academicJournal
- print, 15 ref
Zugriff:
We consider multinomial goodness-of-fit tests for a specified simple hypothesis under the assumption of sparseness. It is shown that the asymptotic normality of the Pearson X2 statistic (X2k) and the log-likelihood ratio statistic (G2k) assuming sparseness. In this paper, we improve the asymptotic normality of X2k and G2k statistics based on two kinds of normalizing transformation. The performance of the transformed statistics is numerically investigated.
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Improvements of goodness-of-fit statistics for sparse multinomials based on normalizing transformations
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Autor/in / Beteiligte Person: | TANEICHI, Nobuhiro ; SEKIYA, Yuri ; IMAI, Hideyuki |
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Zeitschrift: | Annals of the Institute of Statistical Mathematics, Jg. 55 (2003), Heft 4, S. 831-848 |
Veröffentlichung: | Dordrecht; Tokyo: Kluwer, 2003 |
Medientyp: | academicJournal |
Umfang: | print, 15 ref |
ISSN: | 0020-3157 (print) |
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