Weibull Models (Wiley Series in Probability and Statistics) Hardcover - 2003 - 1st Edition
by D. N. Prabhakar Murthy/ Min Xie/ Renyan Jiang
- New
- Hardcover
Description
Standard delivery: 14 to 21 days
Details
- Title Weibull Models (Wiley Series in Probability and Statistics)
- Author D. N. Prabhakar Murthy/ Min Xie/ Renyan Jiang
- Binding Hardcover
- Edition number 1st
- Edition 1
- Condition New
- Pages 416
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience, New York
- Date 2003
- Features Bibliography, Index
- Bookseller's Inventory # __0471360929
- ISBN 9780471360926 / 0471360929
- Weight 1.52 lbs (0.69 kg)
- Dimensions 9.54 x 6.36 x 0.95 in (24.23 x 16.15 x 2.41 cm)
- Library of Congress subjects Weibull distribution
- Library of Congress Catalog Number 2003053450
- Dewey Decimal Code 519.24
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First line
From the rear cover
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.
