Weibull Models

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 applicationServes 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 mannerIntertwines theory and applicationFocuses on model identification prior to model parameter estimationDiscusses the usefulness of the Weibull Probability plot (WPP) in the model selection to model a given data setHighlights 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.

Spis treści:
Preface.
PART A: OVERVIEW.
An Overview.
Taxonomy for Weibull Models.
PART B: BASIC WEIBULL MODEL.
Model Analysis.
Parameter Estimation.
Model Selection and Validation.
PART C: I AND II MODELS.
Type – I Models.
Type II Weibull Models.
Type III (a) Weibull Models.
Type III (b) Weibull Models.
Type III (c) Weibull Models.
Type III (d) Weibull Models.
PART – E: TYPES IV – ; VII MODELS.
Type IV Weibull Models.
Type V Weibull Models.
Type VI Weibull Models [Multivariate Models].
Type VII Weibull Models.
PART – F: WEIBULL MODELLING OF DATA.
Weibull Modelling of Data.
PART – G: APPLICATIONS IN RELIABILITY.
Modelling Product Failures.
Product Reliability and Weibull Models.
References.

Nota biograficzna:
D. N. PRABHAKAR MURTHY, PhD, is a Professor of Engineering and Operations Management at the University of Queensland in Brisbane, Australia. He received his PhD in applied mathematics from Harvard University.
MIN XIE, PhD, is an Associate Professor of Industrial and Systems Engineering at the National University of Singapore in Kent Ridge Crescent, Singapore. He received his PhD in quality technology from Linkoping University in Linkoping, Sweden.
RENYAN JIANG, PhD, is a Professor of Engineering at the Changsha University of Science and Technology and is also affiliated with the Department of Mechanical Industrial Engineering at the University of Toronto in Toronto, Ontario, Canada. He received his PhD in mechanical engineering from the University of Queensland.

Okładka tylna:
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 applicationServes 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 mannerIntertwines theory and applicationFocuses on model identification prior to model parameter estimationDiscusses the usefulness of the Weibull Probability plot (WPP) in the model selection to model a given data setHighlights 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.