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016	7		_a021094514 _2Uk
020			_a9780443187612 _qpaperback
020			_a0443187614 _qpaperback
020			_z9780443187605 _qelectronic publication
020			_z0443187606 _qelectronic book
035			_a(OCoLC)1388633447
037			_a9780443187605 _bIngram Content Group
040			_aUKMGB _beng _erda _cUKMGB _dOCLCF _dOCLCQ _dOCLCO _dYDX _dOCLCO _dIUL _dUtOrBLW
050		4	_aQA273 _b.R84 2024
082	0	4	_a519.2 ROS 2024 _223/eng/20230724
100	1		_aRoss, Sheldon M., _eauthor. _1https://isni.org/isni/0000000117686334 _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n80131522
245	1	0	_aIntroduction to Probability Models.
250			_aThirteenth edition.
264		1	_aLondon, United Kingdom : _bAcademic Press, an imprint of Elsevier, _c[2024]
264		4	_c©2024
300			_axvii, 852 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aPrevious edition: 2019.
504			_aIncludes bibliographical references and index.
520			_aIntroduction to Probability Models: Thirteenth Edition is available in two volumes: an Elementary edition appropriate for undergraduate use and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Users will find comprehensive information that introduces them to the foundations of probability modeling and stochastic processes from Random Variables, to Markov Chains and Renewal Theory.
650		0	_aProbabilities. _0http://id.loc.gov/authorities/subjects/sh85107090
650		6	_aProbabilités.
650		7	_aProbability. _2aat
942			_2ddc _c3
999			_c60197 _d60197