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The general theory of Reliability Estimation and Life Testing are important areas of Mathematical, Industrial and Applied Statisics/Engineering Sciences. This book introduces readers to different methods of estimating the parameters and reliability functions of well-known failure time distributions and contains numerous examples, illustrations, tables and graphs which serves well to understand the theory discussed in the text. It provides a thorough analysis of the poi nt and interval estimation based on complete censored samples and develops an extensive discussion on Bayesian techniques in Reliability Estimation. The general approach is introductory but rigorous, with an excellent list of references which may encourage readers for further studies along this line.
Every essential area is thoroughly updated to reflect the latest state of knowledge. All the topics are fully revised and extended, and additional topics and new emphases are presented.
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.