This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:038797718X.

N� de ref. del art�culo 9993004

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Detalles bibliogr�ficos

T�tulo

Introduction to Reliability Analysis: Probability Models and Statistical Methods

Editor

Springer-Verlag New York Inc.

Fecha de publicaci�n

1992

Idioma

Ingl�s

ISBN 10

038797718X

ISBN 13

9780387977188

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Peso

600 gramos

Cat�logos de vendedores

Engineering

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Sinopsis

Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.

Cr�ticas

"This is a nice book which touches on diverse subjects in the area of reliability theory... Particularly impressive is the abundance of numerical examples which illustrate in detail almost all the procedures... a welcome addition..."
(Zentralblatt fuer Mathematik)

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