Weibull Models: Wiley Series in Probability and Statistics
Autor DNP Murthyen Limba Engleză Hardback – 15 dec 2003
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
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Specificații
ISBN-13: 9780471360926
ISBN-10: 0471360929
Pagini: 416
Dimensiuni: 156 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:New.
Editura: Wiley
Seria Wiley Series in Probability and Statistics
Locul publicării:Hoboken, United States
ISBN-10: 0471360929
Pagini: 416
Dimensiuni: 156 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:New.
Editura: Wiley
Seria Wiley Series in Probability and Statistics
Locul publicării:Hoboken, United States
Public țintă
Suitable for reliability researchers, applied statisticians, and reliability engineers and managers, both in industry and in academia, a greaat supplement to reliability courses for university/departmental libraries.Notă biografică
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.
Descriere
Covers model analysis, parameter estimation, model validation, and application. This work also classifies the different models and their properties; intertwines theory and application; and focuses on model identification prior to model parameter estimation.