.On a generalization of the classical random sampling scheme and unbiased estimation, by Ya.Lumelskii, V.Voinov, M.Nikulin and P.Fegin
Langue
en
Article de revue
Ce document a été publié dans
Communications in Statistics - Theory and Methods. 2007, vol. 36, n° 4, p. 693-705
Taylor & Francis
Résumé en anglais
A generalization of the classical random sampling scheme is suggested. Based on the proposed generalization one can derive many new minimum variance unbiased estimators for probabilities, as well as for other functions of ...Lire la suite >
A generalization of the classical random sampling scheme is suggested. Based on the proposed generalization one can derive many new minimum variance unbiased estimators for probabilities, as well as for other functions of unknown parameters, for the multivariate Polya, the multivariate negative Polya, the multinomial, the multivariate hypergeometric, the multivariate Poisson, and the Wishart probability distributions.< Réduire
Mots clés en anglais
Generalized random sampling scheme
unbiased estimators
probabilities of linear inequalities
multivariate discrete distributions
multivariate Polya distribution
multivariate negative Polya distribution
multivariate Poisson distribution
Wishart distribution
Origine
Importé de halUnités de recherche