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Advances in Degradation Modeling - Applications to Reliability, Survival Analysis, and Finance (Hardcover, 2010 ed.) Loot Price: R3,184
Discovery Miles 31 840
You Save: R934 (23%)
Advances in Degradation Modeling - Applications to Reliability, Survival Analysis, and Finance (Hardcover, 2010 ed.): M.S....

Advances in Degradation Modeling - Applications to Reliability, Survival Analysis, and Finance (Hardcover, 2010 ed.)

M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol

Series: Statistics for Industry and Technology

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List price R4,118 Loot Price R3,184 Discovery Miles 31 840 | Repayment Terms: R298 pm x 12* You Save R934 (23%)

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This volume dedicated to William Q. Meeker on the occasion of his sixtieth birthday is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics and finance. Additional topics covered include accelerated testing and inference, step-stress testing and inference, nonparametric inference, model validity in accelerated testing, the point process approach, bootstrap methods in degradation analysis, exact inferential methods in reliability, dynamic perturbed systems, and degradation models in statistics. Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.

General

Imprint: Birkhauser Boston
Country of origin: United States
Series: Statistics for Industry and Technology
Release date: December 2009
First published: 2010
Editors: M.S. Nikulin • Nikolaos Limnios • N. Balakrishnan • Waltraud Kahle • Catherine Huber-Carol
Dimensions: 254 x 178 x 25mm (L x W x T)
Format: Hardcover
Pages: 416
Edition: 2010 ed.
ISBN-13: 978-0-8176-4923-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 0-8176-4923-9
Barcode: 9780817649234

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