• Corpus ID: 237385675

On a generalized Birnbaum Saunders Distribution

@inproceedings{Thomas2021OnAG,
  title={On a generalized Birnbaum Saunders Distribution},
  author={Beenu Thomas and M ChackoV},
  year={2021}
}
In this paper, a generalization for the Birnbaum Saunders distribution, which has been applied to the modelling of fatigue failure times and reliability studies, is considered. The maximum likelihood estimators and statistical inference for the distribution parameters are presented. Corresponding bivariate and multivariate distributions are proposed. The proposed distribution is applied to model real data sets. 

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References

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On Bivariate Birnbaum–Saunders Distribution
SYNOPTIC ABSTRACT Univariate Birnbaum–Saunders distribution has been used quite effectively to analyze positively skewed lifetime data. It has received considerable amount of attention in the last
A Log-Linear Model for the Birnbaum-
The Birnbaum-Saunders distribution was derived to model times to failure for metals subject to fatigue. In this article, we formulate and develop a log-linear model for the BirnbaumSaunders
Estimation of parameters for a Birnbaum–Saunders regression model with censored data
Little work has been published on the analysis of censored data for the Birnbaum–Saunders distribution (BISA). In this article, we implement the EM algorithm to fit a regression model with censored
Parameter estimation for ihe birnbaum-saunders distribution based on symmetrically censored samples
Ihe Bimbaum-Saunders distribution was derived to model fatigue life. Frequently, it becomes necessary to stop a life testing process before all the test items have failed. Therefore, estimation
A log-linear model for the Birnbaum-Saunders distribution
The Birnbaum–Saunders distribution was derived to model times to failure for metals subject to fatigue. In this article, we formulate and develop a log-linear model for the Birnbaum–Saunders
Estimation of the Parameters of the Birnbaum–Saunders Distribution
Some alternative estimators to the maximum likelihood estimators of the two parameters of the Birnbaum–Saunders distribution are proposed. Most have high efficiencies as measured by root mean square
p-BIRNBAUM SAUNDERS DISTRIBUTION: APPLICATIONS TO RELIABILITY AND ELECTRONIC BANKING HABITS
Birnbaum and Saunders (1969) introduced a two-parameter lifetime distribution which has been used quite successfully to model a wide variety of univariate positively skewed data. Diaz-Garcia and
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