Log-linear modeling under generalized inverse sampling scheme

Document Type

Article

Publication Date

1-1-2008

Abstract

This article discusses the log-linear model for a multi-way contingency table, where the cell values represent the frequency counts that follow an extended negative multinomial distribution. This is an extension of the negative multinomial log-linear model described by Evans and Bonett (1989). The parameters of the new model are estimated by the maximum likelihood method. The likelihood ratio test for the general log-linear hypothesis is derived, and a practical application of the log-linear model under the generalized inverse sampling scheme is presented.

Identifier

39449129510 (Scopus)

Publication Title

Communications in Statistics Theory and Methods

External Full Text Location

https://doi.org/10.1080/03610920701713294

e-ISSN

1532415X

ISSN

03610926

First Page

1237

Last Page

1244

Issue

8

Volume

37

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