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Reliability Modelling - A Statistical Approach (Hardcover)
Loot Price: R5,629
Discovery Miles 56 290
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Reliability Modelling - A Statistical Approach (Hardcover)
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Reliability is an essential concept in mathematics, computing,
research, and all disciplines of engineering, and reliability as a
characteristic is, in fact, a probability. Therefore, in this book,
the author uses the statistical approach to reliability modelling
along with the MINITAB software package to provide a comprehensive
treatment of modelling, from the basics through advanced modelling
techniques. The book begins by presenting a thorough grounding in
the elements of modelling the lifetime of a single, non-repairable
unit. Assuming no prior knowledge of the subject, the author
includes a guide to all the fundamentals of probability theory,
defines the various measures associated with reliability, then
describes and discusses the more common lifetime models: the
exponential, Weibull, normal, lognormal and gamma distributions.
She concludes the groundwork by looking at ways of choosing and
fitting the most appropriate model to a given data set, paying
particular attention to two critical points: the effect of censored
data and estimating lifetimes in the tail of the distribution. The
focus then shifts to topics somewhat more difficult: the difference
in the analysis of lifetimes for repairable versus non-repairable
systems and whether repair truly "renews" the system methods for
dealing with system with reliability characteristic specified for
more than one component or subsystem the effect of different types
of maintenance strategies the analysis of life test data The final
chapter provides snapshot introductions to a range of advanced
models and presents two case studies that illustrate various ideas
from throughout the book.
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