000			03371nam a22004935i 4500
001			978-0-387-27731-8
003			DE-He213
005			20250710083940.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387277318 _a99780387277318
024	7		_a10.1007/0-387-27731-5 _2doi
082	0	4	_a519.2 _223
100	1		_aRao, M. M. _eauthor.
245	1	0	_aProbability Theory with Applications _h[recurso electrónico] / _cby M. M. Rao, R. J. Swift.
250			_aSecond Edition.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXVIII, 527 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMathematics and Its Applications ; _v582
505	0		_aFoundations -- Background Material and Preliminaries -- Independence and Strong Convergence -- Conditioning and Some Dependence Classes -- Analytical Theory -- Probability Distributions and Characteristic Functions -- Weak Limit Laws -- Applications -- Stopping Times, Martingales, and Convergence -- Limit Laws for Some Dependent Sequences -- A Glimpse of Stochastic Processes.
520			_aProbability Theory and Applications is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include: • indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems; • attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject; • providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing textbooks. Since this is a textbook, essentially all proofs are given in complete detail (even at the risk of repetition), and some key results are given multiple proofs when each argument has something to contribute. Audience This book is intended for graduate students and researchers interested in probability theory.
650		0	_aMATHEMATICS.
650		0	_aFOURIER ANALYSIS.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650	1	4	_aMATHEMATICS.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aREAL FUNCTIONS.
650	2	4	_aFOURIER ANALYSIS.
650	2	4	_aMEASURE AND INTEGRATION.
650	2	4	_aINFORMATION AND COMMUNICATION, CIRCUITS.
700	1		_aSwift, R. J. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387277301
830		0	_aMathematics and Its Applications ; _v582
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-27731-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c56736 _d56736