Weibull models

D.N. Prabhakar Murthy, Min Xie, Renyan Jiang - Collection Wiley Series in Probability and Statistics

408 pages, parution le 15/10/2003

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Résumé

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.

L'auteur - D.N. Prabhakar Murthy

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.

L'auteur - Min Xie

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.

L'auteur - Renyan Jiang

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.

Sommaire

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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	D.N. Prabhakar Murthy, Min Xie, Renyan Jiang
Collection	Wiley Series in Probability and Statistics
Parution	15/10/2003
Nb. de pages	408
Format	16 x 24,5
Couverture	Relié
Poids	695g
Intérieur	Noir et Blanc
EAN13	9780471360926
ISBN13	978-0-471-36092-6