Fast Bayesian Inference for Birnbaum-Saunders Distribution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00180-022-01234-3.pdf
Reference47 articles.
1. Achcar JA (1993) Inferences for the Birnbaum-Saunders fatigue life model using bayesian methods. Comput Stat Data Anal 15(4):367–380
2. Aggarwala R (2001) Progressive interval censoring: some mathematical results with applications to inference. Commun Stat Theory Methods 30(8–9):1921–1935
3. Balakrishnan N, Aggarwala R (2000) Progressive censoring: theory, methods, and applications. Springer Science & Business Media, New York
4. Balakrishnan N, Kundu D (2019) Birnbaum-Saunders distribution: a review of models, analysis, and applications. Appl Stoch Models Bus Ind 35(1):4–49
5. Balakrishnan N, Zhu X (2013) A simple and efficient method of estimation of the parameters of a bivariate Birnbaum-Saunders distribution based on type-II censored samples. In: Kollo T (ed) Multivariate statistics: theory and applications. World Scientific, New Jersey, pp 34–47
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