Practical Methods for Reliability Data Analysis (Hardcover)

This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis.

General

Imprint:	Clarendon Press
Country of origin:	United Kingdom
Series:	Oxford Statistical Science Series, 14
Release date:	October 1994
First published:	1994
Authors:	J.I. Ansell (Lecturer in Statistics and Operational Research) • M.J. Phillips (Lecturer in Mathematical Statistics)
Dimensions:	242 x 162 x 20mm (L x W x T)
Format:	Hardcover
Pages:	256
ISBN-13:	978-0-19-853664-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
LSN:	0-19-853664-X
Barcode:	9780198536642

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