A COM-Poisson type generalization of the binomial distribution and its properties and applications (vol 87, pg 158, 2014)

被引:0
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作者
Borges, P. [1 ,4 ]
Rodrigues, J. [2 ]
Balakrishnan, N. [3 ]
Bazan, J. [2 ]
机构
[1] Univ Fed Espirito Santo, Dept Stat, Vitoria, Brazil
[2] Univ Sao Paulo, Dept Math & Stat, Sao Paulo, Brazil
[3] McMaster Univ, Dept Math & Stat, Hamilton, ON, Canada
[4] Univ Fed Espirito Santo UFES, Dept Estat, Ave Fernando Ferrari 514, BR-29075910 Vitoria, ES, Brazil
关键词
COM-Poisson-binomial distribution; Dependent Bernoulli variables; Correlation coefficient; Exponential family; Weighted Poisson distributions;
D O I
10.1016/j.spl.2023.109883
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
It has come to our attention that the results described in Remarks 1 and 2 do not hold, since the joint distribution given by in Eq. (2) (Shmueli et al., 2005) is not marginally compatible, that is, if the Bernoulli variables Z(i) (i = 1,..., m) have a joint distribution given by Eq. (2), then the joint distribution of (Z(1),..., Z(m-1)) is not of the same form, with m replaced by (m - 1), so that Sigma(m)(i=1) Z(i) does not have its distribution in the same form as Sigma(m)(i=1) Z(i) (see Kadane, 2016). The authors thank Dr. Christian Wei ss for alerting us about this point with respect to Remarks 1 and 2. (c) 2014 Elsevier B.V. All rights reserved.
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