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Nested models for categorical data

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Pardo Llorente, María del Carmen (1999) Nested models for categorical data. Information Sciences, 118 (1-4). pp. 269-278. ISSN 0020-0255

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Official URL: http://www.sciencedirect.com/science/article/pii/S0020025599000511


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Abstract

In this work a family of test statistics based on Burbea–Rao divergence for nested models is proposed. The asymptotic distribution of these test statistics is obtained when the unspecified parameters are estimated by maximum likelihood as well as minimum Burbea–Rao divergence.


Item Type:Article
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This work was supported by grant DGICYT PB96-0635.

Uncontrolled Keywords:Nested models; Rφ-divergence
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:17657
Deposited On:15 Jan 2013 09:35
Last Modified:12 Dec 2018 18:19

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