000			06254nam a2201309 i 4500
001			5263338
003			IEEE
005			20220712205630.0
006			m o d
007			cr |n|||||||||
008			100317t20151998nyua ob 001 0 eng d
020			_a9780470545317 _qelectronic
020			_z9780780334823 _qprint
020			_z0470545313 _qelectronic
024	7		_a10.1109/9780470545317 _2doi
035			_a(CaBNVSL)mat05263338
035			_a(IDAMS)0b000064810c353f
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aTK7885 _b.P85 1998eb
082	0	4	_a004.2/1/01176 _222
100	1		_aPukite, Jan, _d1928- _926632
245	1	0	_aModeling for reliability analysis : _bMarkov modeling for reliability, maintainability, safety, and supportability analyses of complex computer systems / _cJan Pukite, Paul Pukite.
264		1	_aNew York : _bIEEE Press, _cc1998.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1998]
300			_a1 PDF (xix, 258 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE Press series on engineering of complex computer systems ; _v2
504			_aIncludes bibliographical references (p. 245-248) and index.
505	0		_aSeries Introduction. Preface. Introduction. System Requirements and Design. Foundations of Probability Theory. Basic Reliability Concepts. Basic Reliability Models. Markov Process Fundamentals. Hardware Reliability Modeling. Software Reliability Modeling. Combined Hardware-Software Reliability Modeling. Modeling of Large and Complex Systems. Maintainability Modeling. Availability Modeling. Safety Modeling. Markov Model Evaluation. Effectiveness Modeling. Support Analyses. Application Examples. Practical Design of Fault-Tolerant Systems. CARMS User's Guide. CARMS Model Library. CARMS Reference. Definitions and Acronyms. References. Index. About the Authors.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_a"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results.".
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
650		0	_aComputer engineering. _910164
650		0	_aReliability (Engineering) _xMathematical models. _926633
655		0	_aElectronic books. _93294
695			_aAccuracy
695			_aAerospace electronics
695			_aAircraft
695			_aAircraft navigation
695			_aAnalytical models
695			_aApproximation methods
695			_aAssembly
695			_aAvailability
695			_aBibliographies
695			_aBiographies
695			_aBiological system modeling
695			_aCalculus
695			_aCentral Processing Unit
695			_aCircuit faults
695			_aComplexity theory
695			_aComputational modeling
695			_aConvolution
695			_aData models
695			_aDatabases
695			_aDistribution functions
695			_aDoppler radar
695			_aEquations
695			_aError analysis
695			_aExpert systems
695			_aFault detection
695			_aFault tolerance
695			_aFault tolerant systems
695			_aFault trees
695			_aHardware
695			_aIndexes
695			_aInjuries
695			_aIntegrated circuit modeling
695			_aLoad modeling
695			_aLoading
695			_aLogistics
695			_aMaintenance engineering
695			_aMarkov processes
695			_aMathematical model
695			_aMice
695			_aNoise
695			_aNumerical models
695			_aOperating systems
695			_aPositron emission tomography
695			_aPressing
695			_aProbabilistic logic
695			_aProbability
695			_aRandom variables
695			_aRead only memory
695			_aRedundancy
695			_aReliability
695			_aReliability engineering
695			_aSafety
695			_aSilicon
695			_aSoftware
695			_aSoftware reliability
695			_aSolid modeling
695			_aSteady-state
695			_aSystem analysis and design
695			_aSystem performance
695			_aTerminology
695			_aTesting
695			_aTires
695			_aVectors
695			_aWeapons
695			_aWeibull distribution
700	1		_aPukite, Paul. _926634
710	2		_aJohn Wiley & Sons, _epublisher. _96902
710	2		_aIEEE Xplore (Online service), _edistributor. _926635
776	0	8	_iPrint version: _z9780780334823
830		0	_aIEEE Press series on engineering of complex computer systems ; _v2 _926636
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263338
942			_cEBK
999			_c73833 _d73833