Maximum likelihood estimation of the parameters of student’s t Birnbaum-Saunders distribution: a comparative study
Author:
Affiliation:
1. Department of Mathematics & Statistics, McMaster University, Hamilton, ON, Canada;
2. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1659359
Reference23 articles.
1. A new look at the statistical model identification
2. Shape and change point analyses of the Birnbaum–Saunders- hazard rate and associated estimation
3. On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data
4. Birnbaum‐Saunders distribution: A review of models, analysis, and applications
5. On the existence and uniqueness of the maximum likelihood estimates of the parameters of Birnbaum–Saunders distribution based on Type-I, Type-II and hybrid censored samples
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1. A novel finite mixture model based on generalized scale mixtures of generalized normal distributions with application to stock dataset;Communications in Statistics - Simulation and Computation;2024-08-08
2. Modeling Air Pollution Data Using a Generalized Birnbaum-Saunders Distribution with Different Estimation Procedures;Springer Proceedings in Mathematics & Statistics;2024
3. A New Bivariate Birnbaum-Saunders Type Distribution Based on the Skew Generalized Normal Model;REVSTAT-STAT J;2023
4. On Comparing Different Methods of Estimation for the Parameters of a Pathological Distribution with Application to Climate Data;Austrian Journal of Statistics;2022-08-26
5. A New Generalized t Distribution Based on a Distribution Construction Method;Mathematics;2021-09-28
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