Pardo Llorente, Julio Ángel y Pardo Llorente, María del Carmen (2008) Minimum phi-divergence estimator and phi-divergence statistics in generalized linear models with binary data. Methodology and computing in applied probability, 10 (3). pp. 357-379. ISSN 1387-5841
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In this paper, we assume that the data are distributed according to a binomial distribution whose probabilities follow a generalized linear model. To fit the data the minimum phi-divergence estimator is studied as a generalization of the maximum likelihood estimator. We use the minimum phi-divergence estimator, which is the basis of some new statistics, for solving the problems of testing in a generalized linear model with binary data. A wide simulation study is carried out for studying the behavior of the new family of estimators as well as of the new family of test statistics.
|Tipo de documento:||Artículo|
|Palabras clave:||generalized linear model; chi-squared distribution; binomial distribution; phi-divergence measure; nested sequence|
|Materias:||Ciencias > Matemáticas > Estadística matemática|
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|Última Modificación:||07 Feb 2014 09:45|
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