A weighted negative binomial Lindley distribution with applications to dispersed data.

Abstract:

:A new discrete distribution is introduced. The distribution involves the negative binomial and size biased negative binomial distributions as sub-models among others and it is a weighted version of the two parameter discrete Lindley distribution. The distribution has various interesting properties, such as bathtub shape hazard function along with increasing/decreasing hazard rate, positive skewness, symmetric behavior, and over- and under-dispersion. Moreover, it is self decomposable and infinitely divisible, which makes the proposed distribution well suited for count data modeling. Other properties are investigated, including probability generating function, ordinary moments, factorial moments, negative moments and characterization. Estimation of the model parameters is investigated by the methods of moments and maximum likelihood, and a performance of the estimators is assessed by a simulation study. The credibility of the proposed distribution over the negative binomial, Poisson and generalized Poisson distributions is discussed based on some test statistics and four real data sets.

journal_name

An Acad Bras Cienc

authors

Bakouch HS

doi

10.1590/0001-3765201820170733

subject

Has Abstract

pub_date

2018-07-01 00:00:00

pages

2617-2642

issue

3

eissn

0001-3765

issn

1678-2690

pii

S0001-37652018000602617

journal_volume

90

pub_type

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