书目名称 | Statistical and Probabilistic Models in Reliability | 编辑 | D. C. Ionescu,N. Limnios | 视频video | | 丛书名称 | Statistics for Industry and Technology | 图书封面 |  | 描述 | 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 m | 出版日期 | Book 1999 | 关键词 | Estimator; Markov; Maxima; Observable; Survival analysis; algorithm; best fit; calculus; classification; mode | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4612-1782-4 | isbn_softcover | 978-1-4612-7280-9 | isbn_ebook | 978-1-4612-1782-4Series ISSN 2364-6241 Series E-ISSN 2364-625X | issn_series | 2364-6241 | copyright | Springer Science+Business Media New York 1999 |
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