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.
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