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150216s2015 enk ob 001 0 eng d |
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|a N$T
|b eng
|e rda
|e pn
|c N$T
|d OPELS
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|d E7B
|d OCLCF
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|d UMI
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|a 903858628
|a 913971952
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|a 9780128024867
|q (electronic bk.)
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|a 0128024860
|q (electronic bk.)
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|a 0128022124
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|a 9780128022122
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|z 9780128022122
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|a (OCoLC)903488788
|z (OCoLC)903858628
|z (OCoLC)913971952
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|a QA402
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072 |
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|a SCI
|x 064000
|2 bisacsh
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|a TEC
|x 029000
|2 bisacsh
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|a 003
|2 23
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|a Obzherin, Yuriy E.,
|e author.
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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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264 |
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1 |
|a London :
|b Academic Press,
|c 2015.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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588 |
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|a Online resource; title from PDF title page (ScienceDirect, viewed February 16, 2015).
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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 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 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 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 3.5.1 -- System Description.
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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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650 |
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0 |
|a System analysis
|x Mathematical models.
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650 |
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0 |
|a Markov processes.
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650 |
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2 |
|a Markov Chains
|0 (DNLM)D008390
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650 |
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6 |
|a Analyse de syst�emes
|0 (CaQQLa)201-0007674
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
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650 |
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6 |
|a Processus de Markov.
|0 (CaQQLa)201-0024070
|
650 |
|
7 |
|a SCIENCE
|x System Theory.
|2 bisacsh
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Operations Research.
|2 bisacsh
|
650 |
|
7 |
|a Markov processes.
|2 fast
|0 (OCoLC)fst01010347
|
650 |
|
7 |
|a System analysis
|x Mathematical models.
|2 fast
|0 (OCoLC)fst01141393
|
700 |
1 |
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|a Boyko, Elena G.,
|e author.
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776 |
0 |
8 |
|i Print version:
|a Obzherin, Yuriy E.
|t Semi-Markov Models : Control of Restorable Systems with Latent Failures.
|d Burlington : Elsevier Science, �2015
|z 9780128022122
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128022122
|z Texto completo
|