Topics in Safety, Reliability and Quality

Bayesian Methods in Reliability

Editors: Sander, P., Badoux, R. (Eds.)

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When data is collected on failure or survival a list of times is obtained. Some of the times are failure times and others are the times at which the subject left the experiment. These times both give information about the performance of the system. The two types will be referred to as failure and censoring times (cf. Smith section 5). * A censoring time, t, gives less information than a failure time, for it is * known only that the item survived past t and not when it failed. The data is tn and of censoring thus collected as a list of failure times t , . . . , l * * * times t , t , . . . , t • 1 z m 2. 2. Classical methods The failure times are assumed to follow a parametric distribution F(t;B) with and reliability R(t;B). There are several methods of estimating density f(t;B) the parameter B based only on the data in the sample without any prior assumptions about B. The availability of powerful computers and software packages has made the method of maximum likelihood the most popular. Descriptions of most methods can be found in the book by Mann, Schafer and Singpurwalla (1974). In general the method of maximum likelihood is the most useful of the classical approaches. The likelihood approach is based on constructing the joint probability distrilmtion or density for a sample.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook 93,08 €
price for Spain (gross)
  • ISBN 978-94-011-3482-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover 114,39 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Methods in Reliability
Editors
  • P. Sander
  • R. Badoux
Series Title
Topics in Safety, Reliability and Quality
Series Volume
1
Copyright
1991
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-011-3482-8
DOI
10.1007/978-94-011-3482-8
Softcover ISBN
978-94-010-5539-0
Series ISSN
0927-1015
Edition Number
1
Number of Pages
X, 223
Topics