Likelihood ratio tests for comparing k populations -The two-parameter nonregular models

Shaul K. Bar-lev; Benzion Boukai

doi:10.1007/BF02482516

Likelihood ratio tests for comparing k populations -The two-parameter nonregular models

Shaul K. Bar-lev, Benzion Boukai

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

The null and nonnull distributions of the likelihood ratio statistics for testing the homogeneity of k given populations, each associated with a nonregular density depending on two truncation parameters, are investigated. This generalizes to the two-parameter case the work of Hogg (1956, Ann. Math. Statist., 27, 529-532), Barr (1966, J. Amer. Statist. Assoc., 61, 856-864) and Khatri and Jaiswal (1969, Aust. J. Statist., 11, 79-84; 1969, 1971, Ann. Inst. Statist. Math., 21, 127-136;23, 199-210).

Original language	English
Pages (from-to)	277-283
Number of pages	7
Journal	Annals of the Institute of Statistical Mathematics
Volume	38
Issue number	1
DOIs	https://doi.org/10.1007/BF02482516
State	Published - Dec 1986

Keywords

Nonregular distributions
likelihood ratio tests
power functions

ASJC Scopus subject areas

Statistics and Probability

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10.1007/BF02482516

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Likelihood ratio tests for comparing k populations -The two-parameter nonregular models

Abstract

Keywords

ASJC Scopus subject areas

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