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Communications in Statistics - Theory and Methods Volume 51, 2022 - Issue 2
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Articles

A four-parameter negative binomial-Lindley distribution for modeling over and underdispersed count data with excess zeros

Razik Ridzuan Mohd Tajuddina Department of Mathematical Sciences, Universiti Kebangsaan Malaysia, MalaysiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6534-3678View further author information
ORCID Icon,
Noriszura Ismaila Department of Mathematical Sciences, Universiti Kebangsaan Malaysia, MalaysiaView further author information
,
Kamarulzaman Ibrahima Department of Mathematical Sciences, Universiti Kebangsaan Malaysia, MalaysiaView further author information
&
Shaiful Anuar Abu Bakarb Institute of Mathematical Sciences, University of Malaya, MalaysiaView further author information
Pages 414-426 | Received 19 May 2019, Accepted 26 Mar 2020, Published online: 06 Apr 2020

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Read on this site (2)

Dianliang Deng & Xiaoqing Zhang. (2023) A Lindley–binomial model for analyzing the proportions with sparseness and excessive zeros. Journal of Applied Statistics 0:0, pages 1-26.
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Ali Khodadadi, Mohammadali Shirazi, Srinivas Geedipally & Dominique Lord. (2023) Evaluating alternative variations of Negative Binomial–Lindley distribution for modelling crash data. Transportmetrica A: Transport Science 19:3.
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Articles from other publishers (1)

Yupapin Atikankul, Atchariya Wattanavisut & Sichen Liu. (2022) The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data. Lobachevskii Journal of Mathematics 43:9, pages 2378-2386.
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