Using the Weibull Distribution Reliability, Modeling, and Inference
Aus der Reihe
Wiley Series in Probability and Statistics
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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122,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
13.08.2012
Verlag
John Wiley & SonsSeitenzahl
368 (Printausgabe)
Dateigröße
9733 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118351963
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 and its
statistical and probabilistic basis, providing a wealth of material
that is not available in the current literature. The book begins by
outlining the fundamental probability and statistical concepts that
serve as a foundation for subsequent topics of coverage,
including:
* Optimum burn-in, age and block replacement,
warranties
and renewal theory
* Exact inference in Weibull regression
* Goodness of fit testing and distinguishing the
Weibull
from the lognormal
* Inference for the Three Parameter Weibull
Throughout the book, a wealth of real-world examples showcases
the discussed topics and each chapter concludes with a set of
exercises, allowing readers to test their understanding of the
presented material. In addition, a related website features the
author's own software for implementing the discussed analyses along
with a set of modules written in Mathcad®, and additional
graphical interface software for performing simulations.
With its numerous hands-on examples, exercises, and software
applications, Using the Weibull Distribution is an excellent
book for courses on quality control and reliability engineering at
the upper-undergraduate and graduate levels. The book also serves
as a valuable reference for engineers, scientists, and business
analysts who gather and interpret data that follows the Weibull
distribution
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 and its
statistical and probabilistic basis, providing a wealth of material
that is not available in the current literature. The book begins by
outlining the fundamental probability and statistical concepts that
serve as a foundation for subsequent topics of coverage,
including:
* Optimum burn-in, age and block replacement,
warranties
and renewal theory
* Exact inference in Weibull regression
* Goodness of fit testing and distinguishing the
Weibull
from the lognormal
* Inference for the Three Parameter Weibull
Throughout the book, a wealth of real-world examples showcases
the discussed topics and each chapter concludes with a set of
exercises, allowing readers to test their understanding of the
presented material. In addition, a related website features the
author's own software for implementing the discussed analyses along
with a set of modules written in Mathcad®, and additional
graphical interface software for performing simulations.
With its numerous hands-on examples, exercises, and software
applications, Using the Weibull Distribution is an excellent
book for courses on quality control and reliability engineering at
the upper-undergraduate and graduate levels. The book also serves
as a valuable reference for engineers, scientists, and business
analysts who gather and interpret data that follows the Weibull
distribution
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