A new Stein estimator for the zero‐inflated negative binomial regression model-Reference-Cited by-同舟云学术

A new Stein estimator for the zero‐inflated negative binomial regression model

Published:2022-05-06 Issue:19 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Akram Muhammad Nauman¹^ORCID,Abonazel Mohamed R.²,Amin Muhammad¹^ORCID,Kibria B. M. Golam³^ORCID,Afzal Nimra⁴^ORCID

Affiliation:

1. Department of Statistics University of Sargodha Sargodha Pakistan

2. Department of Applied Statistics and Econometrics, Faculty of Graduate Studies for Statistical Research Cairo University Giza Egypt

3. Department of Mathematics and Statistics Florida International University Miami Florida USA

4. Department of Statistics Bahauddin Zakariya University Multan Pakistan

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7045

Reference43 articles.

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2. RadyEA AbonazelMR TahaIM.Ridge estimators for the negative binomial regression model with application. Proceedings of the 53rd Annual Conference on Statistics Computer Science and Operation Research; December 3‐5 2018; Giza ISSR Cairo University.

3. Improved shrinkage estimators in zero‐inflated negative binomial regression model;Zandi Z;Hacettepe J Math Stat,2021

4. AsarY AhmedSE YüzbaşıB.Efficient and improved estimation strategy in zero‐inflated Poisson regression models. Proceedings of the International Conference on Management Science and Engineering Management; 2018:329‐342; Springer Cham.

5. The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research

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