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Journal of Statistical Computation and Simulation Volume 87, 2017 - Issue 12
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Original Articles

Bayesian inference for Birnbaum–Saunders distribution and its generalization

Naijun ShaDepartment of Mathematical Sciences, University of Texas at El Paso, El Paso, TX, USACorrespondence[email protected]
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Tun Lee NgDepartment of Statistics, University of Wisconsin, Madison, WI, USAView further author information
Pages 2411-2429 | Received 31 Aug 2016, Accepted 20 May 2017, Published online: 31 May 2017

Citations (6)

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Read on this site (1)

Naijun Sha. (2023) Classical and Bayesian inference for an extended generalized Birnbaum-Saunders distribution. Communications in Statistics - Simulation and Computation 52:11, pages 5615-5632.
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Articles from other publishers (5)

Kalanka P. Jayalath. (2024) Improved Bayesian Inferences for Right-Censored Birnbaum–Saunders Data. Mathematics 12:6, pages 874.
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Mahdi Teimouri. (2022) Fast Bayesian Inference for Birnbaum-Saunders Distribution. Computational Statistics 38:2, pages 569-601.
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Kalanka P. Jayalath. (2021) Fiducial Inference on the Right Censored Birnbaum–Saunders Data via Gibbs Sampler. Stats 4:2, pages 385-399.
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N. Balakrishnan & Debasis Kundu. (2018) Birnbaum‐Saunders distribution: A review of models, analysis, and applications. Applied Stochastic Models in Business and Industry 35:1, pages 4-49.
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Naijun Sha. (2018) Statistical Inference for Progressive Stress Accelerated Life Testing with Birnbaum-Saunders Distribution. Stats 1:1, pages 189-203.
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