On the performance of some biased estimators in the gamma regression model: simulation and applications-Reference-Cited by-同舟云学术

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On the performance of some biased estimators in the gamma regression model: simulation and applications

Published:2022-02-19 Issue:12 Volume:92 Page:2425-2447
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Akram Muhammad Nauman¹^ORCID,Kibria B. M. Golam²^ORCID,Abonazel Mohamed R.³^ORCID,Afzal Nimra⁴

Affiliation:

1. Department of Statistics, University of Sargodha, Sargodha, Pakistan

2. Department of Mathematics and Statistics, Florida International University, Miami, FL, USA

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

4. Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2022.2032059

Reference46 articles.

1. Liu-type estimator for the gamma regression model

2. Performance of some ridge estimators for the gamma regression model

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

4. A new Liu-type estimator for the Inverse Gaussian Regression Model

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3. Kibria–Lukman estimator for the zero inflated negative binomial regression model: theory, simulation and applications;Communications in Statistics - Simulation and Computation;2023-12-12

4. Kibria–Lukman estimator for the Conway–Maxwell Poisson regression model: Simulation and applications;Scientific African;2023-03

5. Predictive Performance Evaluation of the Kibria-Lukman Estimator;WSEAS TRANSACTIONS ON MATHEMATICS;2022-09-20

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