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This book presents a study of order statistics from standard Inverse Gaussian distributions and their moments, and applies the moments of order statistics to derive the best linear unbiased estimators of the location and scale parameters based on complete as well as Type-II censored samples.
Inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of components. This handbook covers Inverse Gaussian distribution. It is suitable for members of the statistical community and also to applied scientists, engineers, and econometricians.
Presents an evaluation of life-testing and reliability. This book includes topics such as interference under censoring and truncation, reliability growth models, designs to improve quality, prediction techniques, Bayesian analysis of reliability, multivariate methods and accelerated testing.
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