Birkhauser Progressive Censoring: Theory, Methods, and Applications

Progressive Censoring: Theory, Methods, and Applications provides a deep look into the complexities of censored sampling within life-testing experiments. This text addresses the common challenge where experimenters do not observe all failure times, whether by intention or accident. Building on fifty years of research, this book covers a vast range of lifetime distributions. Readers can explore applications involving normal, exponential, gamma, Rayleigh, Weibull, extreme value, log-normal, inverse Gaussian, logistic, Laplace, and Pareto distributions. By examining the many different forms of censoring discussed in scientific literature, this work serves as a comprehensive resource for those working in statistics for industry and technology. This book is designed for professionals and researchers needing to understand how to perform inference based on censored sampling. It provides the necessary framework to handle diverse data types and various censoring methods used in modern engineering and technological studies.