000			03414nam a22005055i 4500
001			978-0-387-09421-2
003			DE-He213
005			20260127104840.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387094212
020			_a99780387094212
024	7		_a10.1007/978-0-387-09421-2 _2doi
040			_cCICY
100	1		_aBrill, Percy H. _eauthor.
245	1	0	_aLevel Crossing Methods in Stochastic Models _h[recurso electrónico] / _cby Percy H. Brill.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2008.
300			_aXXVI, 482 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 ; _v123
505	0		_aOrigin Of Level Crossing Method -- Sample Path And System Point -- M/G/1 Queues And Variants -- M/M/C Queues -- G/M/c Queues -- Dams and Inventories -- Multi-Dimensional Models -- Embedded Level Crossing Method -- Level Crossing Estimation -- Additional Applications.
520			_aSince its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. This volume traces the evolution of level crossing theory for obtaining probability distributions of state variables and demonstrates solution methods in a variety of stochastic models including: queues, inventories, dams, renewal models, counter models, pharmacokinetics, and the natural sciences. Results for both steady-state and transient distributions are given, and numerous examples help the reader apply the method to solve problems faster, more easily, and more intuitively. The book includes introductory material for readers new to the area, as well as advanced material for experienced users of the method, highlighting its usefulness for analyzing a broad class of models and illustrating its flexibility and adaptivity. The concepts, techniques, examples, applications and theoretical results in this book may suggest potentially new theory and new applications. The result is an essential resource for researchers, students, and professionals in operations research, management science, engineering, applied probability, statistics, actuarial science, mathematics, and the natural sciences.
650		0	_aMATHEMATICS.
650		0	_aCOMPUTER SYSTEM PERFORMANCE.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aINDUSTRIAL ENGINEERING.
650		0	_aBUSINESS LOGISTICS.
650	1	4	_aMATHEMATICS.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
650	2	4	_aPRODUCTION/LOGISTICS.
650	2	4	_aSYSTEM PERFORMANCE AND EVALUATION.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387094205
830		0	_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v123
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09421-2 _zVer el texto completo en las instalaciones del CICY
942			_2ddc _cER
999			_c55911 _d55911