Orthogonal polynomials in the cumulative Ord family and its application to variance bounds

被引:4
作者
Afendras, Georgios [1 ,2 ]
Balakrishnan, Narayanaswamy [3 ]
Papadatos, Nickos [4 ]
机构
[1] SUNY Buffalo, Dept Biostat, Buffalo, NY 14214 USA
[2] SUNY Buffalo, Jacobs Sch Med & Biomed Sci, Buffalo, NY 14214 USA
[3] McMaster Univ, Dept Math & Stat, Hamilton, ON, Canada
[4] Univ Athens, Sect Stat & OR, Dept Math, Athens, Greece
基金
加拿大自然科学与工程研究理事会;
关键词
Cumulative Ord family; Fourier coefficients; orthogonal polynomials; Rodrigues-type formula; variance bounds;
D O I
10.1080/02331888.2017.1406940
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
This article presents and reviews several basic properties of the Cumulative Ord family of distributions; this family contains all the commonly used discrete distributions. A complete classification of the Ord family of probability mass functions is related to the orthogonality of the corresponding Rodrigues polynomials. Also, for any random variable X of this family and for any suitable function g in, the article provides useful relationships between the Fourier coefficients of g (with respect to the orthonormal polynomial system associated to X) and the Fourier coefficients of the forward difference of g (with respect to another system of polynomials, orthonormal with respect to another distribution of the system). Finally, using these properties, a class of bounds for the variance of is obtained, in terms of the forward differences of g. These bounds unify and improve several existing results.
引用
收藏
页码:364 / 392
页数:29
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