000			02193nam a22003258i 4500
001			CR9781139169325
003			UkCbUP
005			20200124160246.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			111012s2013||||enk o ||1 0|eng|d
020			_a9781139169325 (ebook)
020			_z9781107024472 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA273 _b.V398 2013
082	0	0	_a519.2 _223
100	1		_aVenkatesh, Santosh S., _eauthor.
245	1	4	_aThe theory of probability / _cSantosh S. Venkatesh.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xxiv, 805 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aFrom classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians.
650		0	_aProbabilities.
650		0	_aProbabilities _xHistory.
776	0	8	_iPrint version: _z9781107024472
856	4	0	_uhttps://doi.org/10.1017/CBO9781139169325
999			_c518997 _d518995