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Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
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Practical Applications of Bayesian Reliability (Hardcover)
Loot Price: R2,379
Discovery Miles 23 790
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Practical Applications of Bayesian Reliability (Hardcover)
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Demonstrates how to solve reliability problems using practical
applications of Bayesian models This self-contained reference
provides fundamental knowledge of Bayesian reliability and utilizes
numerous examples to show how Bayesian models can solve real life
reliability problems. It teaches engineers and scientists exactly
what Bayesian analysis is, what its benefits are, and how they can
apply the methods to solve their own problems. To help readers get
started quickly, the book presents many Bayesian models that use
JAGS and which require fewer than 10 lines of command. It also
offers a number of short R scripts consisting of simple functions
to help them become familiar with R coding. Practical Applications
of Bayesian Reliability starts by introducing basic concepts of
reliability engineering, including random variables, discrete and
continuous probability distributions, hazard function, and censored
data. Basic concepts of Bayesian statistics, models, reasons, and
theory are presented in the following chapter. Coverage of Bayesian
computation, Metropolis-Hastings algorithm, and Gibbs Sampling
comes next. The book then goes on to teach the concepts of design
capability and design for reliability; introduce Bayesian models
for estimating system reliability; discuss Bayesian Hierarchical
Models and their applications; present linear and logistic
regression models in Bayesian Perspective; and more. Provides a
step-by-step approach for developing advanced reliability models to
solve complex problems, and does not require in-depth understanding
of statistical methodology Educates managers on the potential of
Bayesian reliability models and associated impact Introduces
commonly used predictive reliability models and advanced Bayesian
models based on real life applications Includes practical
guidelines to construct Bayesian reliability models along with
computer codes for all of the case studies JAGS and R codes are
provided on an accompanying website to enable practitioners to
easily copy them and tailor them to their own applications
Practical Applications of Bayesian Reliability is a helpful book
for industry practitioners such as reliability engineers,
mechanical engineers, electrical engineers, product engineers,
system engineers, and materials scientists whose work includes
predicting design or product performance.
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