Weibull Models
Language: English
Published by Wiley Nov 2003, 2003
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 223.89
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9780471360926
- Title
- Weibull Models
- Author
- Renyan Jiang
- Publisher
- Wiley Nov 2003
- Publication year
- 2003
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0471360929
- ISBN 13
- 9780471360926
- Item weight
- 689 grams
- Dimensions
- 242x162x24 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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