Weibull Models (eBook)

eBook Download: PDF
2004 | 1. Auflage
416 Seiten
Wiley (Verlag)
978-0-471-47327-5 (ISBN)

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Weibull Models -  Renyan Jiang,  D. N. Prabhakar Murthy,  Min Xie
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A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume. This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics 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 ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner * Intertwines theory and application * Focuses on model identification prior to model parameterestimation * 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 themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer.

D. N. PRABHAKAR MURTHY, PhD, is a Professor of Engineering andOperations Management at the University of Queensland in Brisbane,Australia. He received his PhD in applied mathematics from HarvardUniversity. MIN XIE, PhD, is an Associate Professor of Industrial andSystems Engineering at the National University of Singapore in KentRidge Crescent, Singapore. He received his PhD in qualitytechnology from Linkoping University in Linkoping, Sweden. RENYAN JIANG, PhD, is a Professor of Engineering at the ChangshaUniversity of Science and Technology and is also affiliated withthe Department of Mechanical Industrial Engineering at theUniversity of Toronto in Toronto, Ontario, Canada. He received hisPhD in mechanical engineering from the University ofQueensland.

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.

"...valuable to readers seeking an overview of Weibull modelsand...a valuable contribution to libraries..." (Journalof the American Statistical Association, September 2005)

"...may serve as a handbook in research andteaching..." (Zentralblatt Math, Vol.1047, No.22,2004)

"The book is generally well written and easy to read. It couldserve as a useful reference to practitioners...andresearchers." (Technometrics, November 2004)

"The literature of Weibull models is vast, disjointed, andscattered across many different journals. There are a couple ofbooks devoted solely to the Weibull distribution, but these areoriented toward training and/or consulting purposes. There is nobook that deals with the different Weibull models in an integratedmanner. This book fills that gap." (Mathematical Reviews,Issue 2004h)

Erscheint lt. Verlag 28.1.2004
Reihe/Serie Wiley Series in Probability and Statistics
Wiley Series in Probability and Statistics
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik
Schlagworte Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Engineering statistics • Statistics • Statistik • Statistik in den Ingenieurwissenschaften
ISBN-10 0-471-47327-8 / 0471473278
ISBN-13 978-0-471-47327-5 / 9780471473275
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