Unbiased estimation in the multivariate natural exponential family with simple quadratic variance function

被引:0
|
作者
Blázquez, FL [1 ]
Rubio, DG [1 ]
机构
[1] Univ Sevilla, Fac Math, Dpto Estadist & IO, E-41012 Seville, Spain
关键词
exponential families; orthogonal polynomials; multivariate Hermite polynomials; orthogonal expansions; limit distributions;
D O I
10.1016/S0047-259X(02)00048-9
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We give expansions for the unbiased estimator of a parametric function of the mean vector in a multivariate natural exponential family with simple quadratic variance function. This expansion is given in terms of a system of multivariate orthogonal polynomials with respect to the density of the sample mean. We study some limit properties of the system of orthogonal polynomials. We show that these properties are useful to establish the limit distribution of unbiased estimators. (C) 2003 Elsevier Science (USA). All rights reserved.
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页码:1 / 13
页数:13
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