000			01990nam a2200277 4500
005			20210824135936.0
007			cr |||||||||||
008			210813s2013 nyu|||||o|||| 00| 0 eng d
020			_a9781461447085
040			_aarcduce _carcduce
082	0		_a519.2
100	1		_915281 _aGut, Allan, _d1944-
245	1	0	_aProbability : _ba graduate course / _cAllan Gut. _h[recurso electrónico]
250			_a2nd ed.
260			_aNew York, N.Y. : _bSpringer, _cc2013
300			_a1 recurso en línea (619 p.) : _btexto/pdf 2.98 MB; texto/EPUB
490	0		_aSpringer texts in statistics
505	0		_a1. Introductory measure theory -- 2. Random variables -- 3. Inequalities -- 4. Characteristics functions -- 5. The law of large numbers -- 6.The central limit theorem -- 7. The Law of the Iterated logarithm -- 8. Limit Theorems: Extensions and Generalizations -- 9. Martingales -- Some useful mathematics -- References.
520	3		_aLike its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references.
526			_aBibliografía de la asignatura: Introducción a las probabilidades de la Maestría en Estadística Aplicada.
650		4	_91598 _aPROBABILIDADES
650		4	_91861 _aESTADISTICA
856	4		_uhttps://ar1lib.org/book/2079105/4dcf33
942			_2ddc _cLIE
945			_aBEA _c2021-08-13
999			_c29803 _d29803