Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison.
Several models for studies related to tensile strength of materials are proposed in the literature where the size or length component has been taken to be an important factor for studying the specimens' failure behaviour. An important model, developed on the basis of cumulative damage approach, is the three-parameter extension of the Birnbaum-Saunders fatigue model that incorporates size of the specimen as an additional variable. This model is a strong competitor of the commonly used Weibull model and stands better than the traditional models, which do not incorporate the size effect. The paper considers two such cumulative damage models, checks their compatibility with a real dataset, compares them with some of the recent toolkits, and finally recommends a model, which appears an appropriate one. Throughout the study is Bayesian based on Markov chain Monte Carlo simulation.
Upadhyay
S K
SK
Department of Statistics and DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, India.
Mukherjee
Bhaswati
B
Gupta
Ashutosh
A
D000465:Algorithms; D001499:Bayes Theorem; D016013:Likelihood Functions; D008390:Markov Chains; D008422:Materials Testing / Q000706:statistics & numerical data; D015233:Models, Statistical; D008962:Models, Theoretical; D009010:Monte Carlo Method; D013718:Tensile Strength