000			02981nam a2200385 i 4500
001			000682153
005			20240105152703.0
008			160705t20132013flua rb 001 0 eng d
010			_a2012025210
020			_a9781439872062
020			_a1439872066
035			_a412322
040			_aDLC _bspa _erda _cDLC _dUIASF
050		4	_aQA 273 _bR68.2013
100	1		_aRotar\02B9, V. I. _q(Vladimir Il\02B9ich), _eautor
245	1	0	_aProbability and stochastic modeling / _cVladimir I. Rotar.
264		1	_aBoca Raton FL : _bCRC Press, Taylor & Francis Group, _c2013,
264		4	_c©2013.
300			_axvii, 490 páginas : _bilustraciones ; _c27 cm
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
520			_a"Preface: This book is intended as a first course in probability with an emphasis on stochastic modeling. Distinctive features of the book concern its contents and format as well. The Contents. The exposition is rigorous; with rare exceptions, all assertions are proven; almost every topic found in a traditional introductory probability course is covered. On the other hand, the book pays substantial attention to stochastic modeling, which is atypical for first-course textbooks on Probability. Cases in point are Markov chains, birth-death processes (including queuing processes), reliability models, and other topics, both theoretical and applied. We also consider a number of concrete models (for example, a model of financial markets, or the principal components scheme); sometimes, even with real world data. The goal here is not to teach particular models or numerical methods but rather help the student to better appreciate general concepts and theoretical results, and demonstrate practical possibilities and restrictions of different approaches under consideration. The same concerns examples and exercises with use of Excel. Besides the traditional material, we also pay attention to topics usually skipped (or almost skipped) in introductory courses, though in the author's opinion, they are becoming increasingly important. In particular, this concerns martingales, classification of dependency structures, and risk evaluation. The format of the book. The material is presented in the form of two nested "routes". Route 1 contains the basic material designed for a one semester course. This material is self-contained and has a moderate level of difficulty. Route 2 contains all of Route 1, offers a more complete exposition, and is suited for a two-semester course or self-study".
500			_a"Mathematics"--Cubierta.
504			_aIncluye referencias bibliográficas e índice.
650		0	_aProbabilities _vTextbooks.
650		4	_aProbabilidades _vLibros de texto
650		0	_aStochastic models _vTextbooks.
650		4	_aModelos estocásticos _vLibros de texto
905			_a01
942		1	_cNEWBFXC1
999			_c637937 _d637937
980			_851 _gRonald RUIZ