Degradation Processes in Reliability
Waltraud Kahle
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Description for Degradation Processes in Reliability
Hardback. Num Pages: 238 pages, black & white illustrations. BIC Classification: TGPR. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 18. Weight in Grams: 506.
"Degradation process" refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration modeling. This book focuses on the case of a univariate degradation model with a continuous set of possible outcomes. The envisioned univariate models have one single measurable quantity which is assumed to be observed over time.
The first three chapters are each devoted to one degradation model. The last chapter illustrates the use of the previously described degradation models on some real data sets. For each of the degradation models, the authors provide probabilistic results and explore simulation tools for ... Read more
Show LessProduct Details
Format
Hardback
Publication date
2016
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
238
Condition
New
Number of Pages
240
Place of Publication
London, United Kingdom
ISBN
9781848218888
SKU
V9781848218888
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Waltraud Kahle
Waltraud Kahle is Associate Professor in the Mathematics Department of the Otto-von-Guericke University Magdeburg in Germany. Sophie Mercier is Full Professor in the Laboratory of Mathematics and their Applications of the University of Pau and Pays de l'Adour in France. Christian Paroissin is Associate Professor in the Laboratory of Mathematics and their Applications of the University ... Read more
Reviews for Degradation Processes in Reliability
"The main focus of the book is on parametric models. In such a case likelihood maximization is recommended as the main estimation method. The form of the likelihood function is always rigorously derived and the procedure of its maximization is discussed. If the covariance matrix of ML estimates is sufficiently simple, it is also presented. For some models, estimation by ... Read more