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＜電子ブック＞
Uncertain Renewal Processes / by Kai Yao
(Springer Uncertainty Research. ISSN:21993815)

版	1st ed. 2019.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2019
大きさ	XIII, 156 p. 1 illus : online resource
著者標目	*Yao, Kai author SpringerLink (Online service)
件　名	LCSH:Mathematics LCSH:Engineering mathematics LCSH:Engineering—Data processing LCSH:Probabilities LCSH:Artificial intelligence LCSH:Mathematical optimization FREE:Applications of Mathematics FREE:Mathematical and Computational Engineering Applications FREE:Probability Theory FREE:Artificial Intelligence FREE:Optimization
一般注記	Probability Theory -- Stochastic Renewal Processes -- Uncertainty Theory -- Uncertain Renewal Processes -- Chance Theory -- Uncertain Random Renewal Processes This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory. It also covers the applications of these renewal processes in maintenance models and insurance risk models. The methods used to derive the limit of the renewal rate, the reward rate, and the availability rate are of particular interest, as they can easily be extended to the derivation of other models. Its comprehensive and systematic treatment of renewal processes, renewal reward processes and the alternating renewal process is one of the book’s major features, making it particularly valuable for readers who are interested in learning about renewal theory. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of mathematics, information science, operations research, industrial engineering, etc HTTP:URL=https://doi.org/10.1007/978-981-13-9345-7

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