000			03092nam a22005055i 4500
001			978-0-387-29337-0
003			DE-He213
005			20250710083944.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387293370 _a99780387293370
024	7		_a10.1007/0-387-29337-X _2doi
082	0	4	_a519.2 _223
100	1		_aChing, Wai-Ki. _eauthor.
245	1	0	_aMarkov Chains: Models, Algorithms and Applications _h[recurso electrónico] / _cby Wai-Ki Ching, Michael K. Ng.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXIV, 205 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v83
505	0		_aQueueing Systems and the Web -- Re-manufacturing Systems -- Hidden Markov Model for Customers Classification -- Markov Decision Process for Customer Lifetime Value -- Higher-order Markov Chains -- Multivariate Markov Chains -- Hidden Markov Chains.
520			_aMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
650		0	_aMATHEMATICS.
650		0	_aCOMPUTER SCIENCE.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aBUSINESS LOGISTICS.
650	1	4	_aMATHEMATICS.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aPRODUCTION/LOGISTICS.
650	2	4	_aPROBABILITY AND STATISTICS IN COMPUTER SCIENCE.
650	2	4	_aMATH APPLICATIONS IN COMPUTER SCIENCE.
700	1		_aNg, Michael K. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387293356
830		0	_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v83
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-29337-X _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c56943 _d56943