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Statistical and Probabilistic Models in Reliability

213,99 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 1835b22c61fb8e4723b47db70c68486611
Themengebiete: Estimator Markov Maxima Observable Survival analysis algorithm best fit calculus classification model
Veröffentlichungsdatum: 01.12.1998
EAN: 9780817640682
Sprache: Englisch
Seitenzahl: 352
Produktart: Gebunden
Herausgeber: Ionescu, Dumitru Cezar Limnios, Nikolaos
Verlag: Birkhäuser Boston
Produktinformationen "Statistical and Probabilistic Models in Reliability"
This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997. The papers have been divided into three sections: statistical methods, probabilistic methods, and special techniques and appli cations. Of course, as with any classification, some papers could be as well assigned to other sections. Problems in reliability are encountered in items in everyday usage. Relia bility is an important feature of household appliances, cars, telephones, power supplies, and so on, whether viewed from the vantage of the producer or the consumer. Important decisions are based on the reliability of the product. Obtaining systems that perform adequately for a specified period of time in a given environment is an important goal for both government and industry. Hence study and use of reliability theory, which can be applied in the research, development, and production phases of a system to enable the user to evaluate and improve performance, is a worthwhile venture. If reliability theory is to be useful, it must be quantitative in nature, because reliability must be demonstra ble. Subsequently probability and statistics, among others, play an important part in its development.

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