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210123 ||| eng |
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|a 9780128024867
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|a 0128024860
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|a 0128022124
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|a QA402
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|a Obzherin, Yuriy E.
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|a Semi-markov models
|b control of restorable systems with latent failures
|c Yuriy E. Obzherin, Elena G. Boyko
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| 260 |
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|a London
|b Academic Press
|c 2015
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| 300 |
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|a 1 online resource
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|a Includes bibliographical references and index
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|a 2.5.4 -- Definition of the System Stationary CharacteristicsChapter 3 -- Semi-Markov Models of Two-Component Systems with Regard to Control of Latent Failures; 3.1 -- The Model of Two-Component Serial System with Immediate Control and Restoration; 3.1.1 -- System Description; 3.1.2 -- Semi-Markov Model Building; 3.1.3 -- Definition of EMC Stationary Distribution; 3.1.4 -- Stationary Characteristics Definition; 3.2 -- The Model of Two-Component Parallel System with Immediate Control and Restoration; 3.2.1 -- System Description; 3.2.2 -- Definition of System Stationary Characteristics
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|a Cover; Title page; Copyright Page; Contents; Preface; List of Notations and Abbreviations; Introduction; Chapter 1 -- Preliminaries; 1.1 -- Strategies and characteristics of technical Control; 1.2 -- Preliminaries on renewal theory; 1.3 -- Preliminaries on semi-Markov processes with arbitrary phase space of states; Chapter 2 -- Semi-Markov Models of One-Component Systems with Regard to Control of Latent Failures; 2.1 -- The System Model With Component Deactivation While Control Execution; 2.1.1 -- The System Description; 2.1.2 -- Semi-Markov Model Building
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|a 3.3 -- The Model of Two-Component Serial System with Components Deactivation while Control Execution, the Distribution of Co ... 3.3.1 -- System Description; 3.3.2 -- Semi-Markov Model Building; 3.3.3 -- Definition of EMC Stationary Distribution; 3.3.4 -- Stationary Characteristics Definition; 3.4 -- The Model of Two-Component Parallel System with Components Deactivation While Control Execution, the Distribution of ... ; 3.4.1 -- Definition of EMC Stationary Distribution; 3.5 -- Approximation of Stationary Characteristics of Two-Component Serial Systems with Components Deactivation while Contro ..
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|a 2.1.3 -- Definition of EMC Stationary Distribution2.1.4 -- Stationary Characteristics Definition; 2.2 -- The System Model Without Component Deactivation While Control Execution; 2.2.1 -- The System Description; 2.2.2 -- Semi-Markov Model Building; 2.2.3 -- Definition of EMC Stationary Distribution; 2.2.4 -- Stationary Characteristics Definition; 2.3 -- Approximation of Stationary Characteristics of One-Component System Without Component Deactivation; 2.3.1 -- System Description; 2.3.2 -- Semi-Markov Model Building of the Supporting System
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|a 2.3.3 -- Definition of EMC Stationary Distribution for Supporting System2.3.4 -- Approximation of the System Stationary Characteristics; 2.4 -- The System Model With Component Deactivation and Possibility of Control Errors; 2.4.1 -- System Description; 2.4.2 -- Semi-Markov Model Building; 2.4.3 -- Definition of EMC Stationary Distribution; 2.4.4 -- System Stationary Characteristics Definition; 2.5 -- The System Model With Component Deactivation and Preventive Restoration; 2.5.1 -- System Description; 2.5.2 -- Semi-Markov model building; 2.5.3 -- Definition of the EMC Stationary Distribution
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|a 3.5.1 -- System Description
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| 653 |
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|a Markov Chains
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|a System analysis / Mathematical models
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|a Markov processes / fast
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|a Markov processes / http://id.loc.gov/authorities/subjects/sh85081369
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|a System analysis / Mathematical models / fast
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|a Analyse de systèmes / Modèles mathématiques
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|a SCIENCE / System Theory / bisacsh
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|a TECHNOLOGY & ENGINEERING / Operations Research / bisacsh
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| 653 |
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|a Processus de Markov
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| 700 |
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|a Boyko, Elena G.
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9780128024867
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|z 0128024860
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| 776 |
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|z 9780128022122
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|u https://learning.oreilly.com/library/view/~/9780128022122/?ar
|x Verlag
|3 Volltext
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|a 500
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|a 620
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|a 003
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|a Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency, and uti
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