An exploratory canonical analysis approach for multinomial populations based on the $\phi $-divergence measure

Julio A. Pardo; Leandro Pardo; María Del Carmen Pardo; K. Zografos

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Chi-squared goodness-of-fit test for the family of logistic distributions

Neige Aguirre, Mikhail Nikulin (1994)

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First and second order asymptotic efficiencies of estimators

C. Radhakrishna Rao (1962)

Annales scientifiques de l'Université de Clermont. Mathématiques

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Some aspects of parameter inference for nearly nonstationary and nearly non invertible ARMA models (II).

Juha Ahtola, George C. Tiao (1984)

Qüestiió

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This article will extend the discussion in Ahtola and Tiao (1984a) of the finite sample distribution of the score function in nearly nonstationary first order autoregressions to nearly noninvertible first order moving average models. This distribution theory can be used to appreciate the behavior of the score function in situations where the asymptotic normal theory is known to give poor approximations in finite samples. The approximate distributions suggested here can be...

Asymptotic behaviour of an estimator based on Rao's divergence

María Del Carmen Pardo (1997)

Kybernetika

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Displaying similar documents to “An exploratory canonical analysis approach for multinomial populations based on the φ -divergence measure”

Chi-squared goodness-of-fit test for the family of logistic distributions

First and second order asymptotic efficiencies of estimators

Some aspects of parameter inference for nearly nonstationary and nearly non invertible ARMA models (II).

Asymptotic behaviour of an estimator based on Rao's divergence

Displaying similar documents to “An exploratory canonical analysis approach for multinomial populations based on the $φ$ -divergence measure”