Literature DB >> 19255842

Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison.

S K Upadhyay1, Bhaswati Mukherjee, Ashutosh Gupta.   

Abstract

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.

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Year:  2009        PMID: 19255842     DOI: 10.1007/s10985-009-9113-9

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  2 in total

1.  Accelerated test models for system strength based on Birnbaum-Saunders distributions.

Authors:  W J Owen; W J Padgett
Journal:  Lifetime Data Anal       Date:  1999-06       Impact factor: 1.588

2.  A comparison of frailty and other models for bivariate survival data.

Authors:  S K Sahu; D K Dey
Journal:  Lifetime Data Anal       Date:  2000-09       Impact factor: 1.588

  2 in total

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