Name: Testing for homogeneity: The negative binomial distribution
Creator: P. Y. Chi
Keywords: Asymptotic distribution theory in statistics, 4. Education, 05 social sciences, 1. No poverty, locally most powerful test, negative binomial distribution, 16. Peace & justice, 01 natural sciences, Parametric hypothesis testing, 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1980 English Publisher:Oxford University Press (OUP)Journal:Biometrika, volume 67, pages 252-254 (issn: 0006-3444, eissn: 1464-3510,

Authors: P. Y. Chi;

doi: 10.1093/biomet/67.1.252 , 10.2307/2335348

Testing for homogeneity: The negative binomial distribution

- Summary
- Subjects
- Metrics

Abstract

SUMMARY A locally most powerful similar test is constructed for testing the homogeneity of r+ 1 negative binomial series against a general class of alternatives. Approximations to the distribution of the test statistic under the null hypothesis are given.

Related Organizations

Novartis (Switzerland)
Switzerland

Keywords

Asymptotic distribution theory in statistics, locally most powerful test, negative binomial distribution, Parametric hypothesis testing, testing homogeneity, Dixon criterion

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average