The Binomial-Discrete Poisson-Lindley Model: Modeling and Applications to Count Regression
Year: 2022
Author: Christophe Chesneau, Hassan S. Bakouch, Yunus Akdoğan, Kadir Karakaya
Communications in Mathematical Research , Vol. 38 (2022), Iss. 1 : pp. 28–51
Abstract
On the basis of a well-established binomial structure and the so-called Poisson-Lindley distribution, a new two-parameter discrete distribution is introduced. Its properties are studied from both the theoretical and practical sides. For the theory, we discuss the moments, survival and hazard rate functions, mode and quantile function. The statistical inference on the model parameters is investigated by the maximum likelihood, moments, proportions, least square, and weighted least square estimations. A simulation study is conducted to observe the performance of the bias and mean square error of the obtained estimates. Then, applications to two practical data sets are given. Finally, we construct a new flexible count data regression model called the binomial-Poisson Lindley regression model with two practical examples in the medical area.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cmr.2021-0045
Communications in Mathematical Research , Vol. 38 (2022), Iss. 1 : pp. 28–51
Published online: 2022-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 24
Keywords: Binomial-discrete family Poisson-Lindley distribution estimation data analysis count regression.
Author Details
Christophe Chesneau Email
Hassan S. Bakouch Email
Yunus Akdoğan Email
Kadir Karakaya Email
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