On goodness-of-fit tests for the Bell distribution

被引：0
|
作者：
Apostolos Batsidis
María Dolores Jiménez-Gamero
Artur J. Lemonte
机构：
[1] University of Ioannina,Department of Mathematics
[2] Universidad de Sevilla,Departamento de Estadística e Investigación Operativa
[3] Universidade Federal do Rio Grande do Norte,Departamento de Estatística
来源：
Metrika | 2020年 / 83卷
关键词：
Count data; Goodness-of-fit tests; Parametric bootstrap; Empirical probability generating function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The one-parameter Bell family of distributions, introduced by Castellares et al. (Appl Math Model 56:172–185, 2018), is useful for modeling count data. This paper proposes and studies a goodness-of-fit test for this distribution, which is consistent against fixed alternatives. The finite sample performance of the proposed test is investigated by means of several Monte Carlo simulation experiments, and it is also compared with other related ones. Real data applications are considered for illustrative purposes.
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页码：297 / 319
页数：22
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