A modified Conway–Maxwell–Poisson type binomial distribution and its applications

T. ImotoSchool of Management and Information, University of Shizuoka, Yada, Suruga-ku, Shuzuoka, JapanCorrespondence[email protected]

C. M. NgInstitute of Mathematical Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia

S. H. OngInstitute of Mathematical Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia

S. ChakrabortyDepartment of Statistics, Dibrugarh University, Dibrugarh, Assam, India

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Emrah Altun, Gauss M. Cordeiro & Miroslav M. Ristić. (2022) An one-parameter compounding discrete distribution. Journal of Applied Statistics 49:8, pages 1935-1956.
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Seng Huat Ong, Shin Zhu Sim, Shuangzhe Liu & Hari M. Srivastava. (2023) A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data. Stats 6:3, pages 942-955.
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Emrah Altun, Hana Alqifari & Mohamed S. Eliwa. (2023) A novel approach for zero-inflated count regression model: Zero-inflated Poisson generalized-Lindley linear model with applications. AIMS Mathematics 8:10, pages 23272-23290.
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Emrah Altun. (2020) A new one-parameter discrete distribution with associated regression and integer-valued autoregressive models. Mathematica Slovaca 70:4, pages 979-994.
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Anwar Hassan, Ishfaq S. Ahmad & Peer Bilal Ahmad. (2020) Non-Central Negative Binomial Regression Model for Count Data. Non-Central Negative Binomial Regression Model for Count Data.

Emrah Altun. (2019) A new model for over-dispersed count data: Poisson quasi-Lindley regression model. Mathematical Sciences 13:3, pages 241-247.
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A modified Conway–Maxwell–Poisson type binomial distribution and its applications

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A modified Conway–Maxwell–Poisson type binomial distribution and its applications

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