.On a generalization of the classical random sampling scheme and unbiased estimation, by Ya.Lumelskii, V.Voinov, M.Nikulin and P.Fegin
Language
en
Article de revue
This item was published in
Communications in Statistics - Theory and Methods. 2007, vol. 36, n° 4, p. 693-705
Taylor & Francis
English Abstract
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 ...Read more >
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.Read less <
English Keywords
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
Origin
Hal imported