Geodesic
Minimax Prediction for the Multinomial and Multivariate Hypergeometric Distributions
Applicationes Mathematicae, Tome 25 (1999) no. 3, pp. 271-283.

Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences

A problem of minimax prediction for the multinomial and multivariate hypergeometric distribution is considered. A class of minimax predictors is determined for estimating linear combinations of the unknown parameter and the random variable having the multinomial or the multivariate hypergeometric distribution.
DOI : 10.4064/am-25-3-271-283
Keywords: multinomial distribution, Bayes estimation, multivariate hypergeometric distribution, minimax estimation, Bayes risk, minimax predictor

Alicja Jokiel-Rokita 1

1 
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Alicja Jokiel-Rokita. Minimax Prediction for the Multinomial and Multivariate Hypergeometric Distributions. Applicationes Mathematicae, Tome 25 (1999) no. 3, pp. 271-283. doi : 10.4064/am-25-3-271-283. http://geodesic.mathdoc.fr/articles/10.4064/am-25-3-271-283/

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