A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, and scattered across many different journals. Weibull Models is a comprehensive guide that integrates all the different facets of Weibull models in a single volume. This book will be of great help to practitioners in reliability and other disciplines in the context of modeling data sets using Weibull models. For researchers interested in these modeling techniques, exercises at the end of each chapter define potential topics for future research. Organized into seven distinct parts, Weibull Models: Covers model analysis, parameter estimation, model validation, and application Serves as both a handbook and a research monograph. As a handbook, it classifies the different models and presents their properties. As a research monograph, it unifies the literature and presents the results in an integrated manner Intertwines theory and application Focuses on model identification prior to model parameter estimation Discusses the usefulness of the Weibull Probability plot (WPP) in the model selection to model a given data set Highlights the use of Weibull models in reliability theory Filled with in-depth analysis, Weibull Models pulls together the most relevant information on this topic to give everyone from reliability engineers to applied statisticians involved with reliability and survival analysis a clear look at what Weibull models can offer.KALBFLEISCH and PRENTICE - The Statistical Analysis of Failure Time Data, Second Edition KASS and VOS ... Models: From Data to Decisions KLUGMAN, PANJER, and WILLMOT - Solutions Manual to Accompany Loss Models: From Dataanbsp;...

Title | : | Weibull Models |

Author | : | D. N. Prabhakar Murthy, Min Xie, Renyan Jiang |

Publisher | : | John Wiley & Sons - 2004-01-28 |

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