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Introduction to system reliability theory

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to system reliability theoryby Jorge Navarro.
作者:	Navarro, Jorge.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 174 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Reliability (Engineering)
電子資源:	https://doi.org/10.1007/978-3-030-86953-3
ISBN:	9783030869533$q(electronic bk.)

Introduction to system reliability theory
Navarro, Jorge.

Introduction to system reliability theory[electronic resource] /by Jorge Navarro. - Cham :Springer International Publishing :2022. - xii, 174 p. :ill., digital ;24 cm.

Coherent system structures -- Coherent system lifetimes -- Stochastic comparisons -- Aging properties -- Redundancy and repair properties.

This textbook provides the tools for a modern post-graduate introductory course on system reliability theory. It focuses on probabilistic aspects of the theory, including recent results based on signatures, stochastic orders, aging classes, copulas and distortion (or aggregation) functions. The reader requires on an introductory knowledge on probability theory and mathematics. The book serves both for graduate students in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game theory. Included also are brief introductions to the basic aspects of lifetime modelling, stochastic comparisons, aging classes, mixtures and copula theory. The book develops this knowledge with worked examples and supplies code for the program R so that students can explore its lessons and techniques.

ISBN: 9783030869533$q(electronic bk.)

Standard No.: 10.1007/978-3-030-86953-3doiSubjects--Topical Terms:

182677
Reliability (Engineering)

LC Class. No.: TA169 / .N38 2022

Dewey Class. No.: 620.00452

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520 $a This textbook provides the tools for a modern post-graduate introductory course on system reliability theory. It focuses on probabilistic aspects of the theory, including recent results based on signatures, stochastic orders, aging classes, copulas and distortion (or aggregation) functions. The reader requires on an introductory knowledge on probability theory and mathematics. The book serves both for graduate students in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game theory. Included also are brief introductions to the basic aspects of lifetime modelling, stochastic comparisons, aging classes, mixtures and copula theory. The book develops this knowledge with worked examples and supplies code for the program R so that students can explore its lessons and techniques.
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