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Communications in Statistics - Simulation and Computation Volume 52, 2023 - Issue 9
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Article

On the generalized biased estimators for the gamma regression model: methods and applications

Muhammad Nauman Akrama Department of Statistics, University of Sargodha, Sargodha, PakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6688-808X
ORCID Icon,
Muhammad Amina Department of Statistics, University of Sargodha, Sargodha, PakistanORCID Iconhttps://orcid.org/0000-0002-7431-5756
ORCID Icon &
Muhammad Faisalb Faculty of Health Studies, University of Bradford, Bradford, UKORCID Iconhttps://orcid.org/0000-0003-4885-4251
ORCID Icon
Pages 4087-4100 | Received 07 Aug 2020, Accepted 03 Jul 2021, Published online: 25 Jul 2021

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Adewale F. Lukman, Muhammad Amin & B.M Golam Kibria. (2024) Influence measures in gamma modified ridge type estimator. Communications in Statistics - Simulation and Computation 53:1, pages 147-163.
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Muhammad Nauman Akram, Muhammad Amin & Muhammad Qasim. (2023) A new biased estimator for the gamma regression model: Some applications in medical sciences. Communications in Statistics - Theory and Methods 52:11, pages 3612-3632.
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Muhammad Nauman Akram, B. M. Golam Kibria, Mohamed R. Abonazel & Nimra Afzal. (2022) On the performance of some biased estimators in the gamma regression model: simulation and applications. Journal of Statistical Computation and Simulation 92:12, pages 2425-2447.
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Muhammad Nauman Akram, Muhammad Amin, Nimra Afzal & B. M. Golam Kibria. Kibria–Lukman estimator for the zero inflated negative binomial regression model: theory, simulation and applications. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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