Using the Weibull distribution reliability, modeling, and inference /

Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability,...

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Bibliographic Details
Main Authors: McCool, John, 1936
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118351994
Summary: Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution a.
Carrier Form: 1 online resource (355 p.) : ill.
Bibliography: Includes bibliographical references and index.
ISBN: 9781118351994 (electronic bk.)
1118351991 (electronic bk.)
9781118351963 (electronic bk.)
1118351967 (electronic bk.)
9781118351987 (electronic bk.)
1118351983 (electronic bk.)
Access: Due to publisher license, access is restricted to authorised GRAIL clients only. Please contact GRAIL staff.
Index Number: QA273
CLC: TB114.3-43
Contents: Probability -- Discrete and continuous random variables -- Properties of the Weibull distribution -- Weibull probability models -- Estimation in single samples -- Sample size selection, hypothesis testing, and goodness of fit -- The program Pivotal.exe -- Inference from multiple samples -- Weibull regression -- The three-parameter Weibull distribution -- Factorial experiments with Weibull response.