000			01853cam a22003372 b4500
001			7867563
003			OSt
005			20150408114223.0
006			m d
007			cr n
008			090406e20080218sz s|||||||| 2|eng|d
020			_a9783764387235
020			_a3764387238 (Trade Paper) _cUSD 39.95 Retail Price (Springer)
024	3		_a9783764387235
035			_a(WaSeSS)ssj0000319111
037			_b00145491
040			_aBIP US _dWaSeSS
050		4	_aQA273
082	0	0	_a519.23 _222 _bMRN
100	1		_aMeester, Ronald _eAuthor _946232
210	1	0	_aA Natural Introduction to Probability Theory
245	1	2	_aA Natural Introduction to Probability Theory _h[electronic resource]
250			_a2nd ed.
260			_aCH-4010 Basel : _bBirkhauser Verlag AG _cFeb. 2008 _aSecaucus : _bSpringer [Distributor]
506			_aLicense restrictions may limit access.
520	8		_aAnnotation _bCompactly written, but nevertheless very readable, appealing to intuition, this introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Technical machinery is only introduced when necessary. The route is rigorous but does not use measure theory. The text is illustrated with many original and surprising examples and problems taken from classical applications like gambling, geometry or graph theory, as well as from applications in biology, medicine, social sciences, sports, and coding theory. Only first-year calculus is required.
773		0	_tSpringerLink ebooks - Mathematics and Statistics (2008)
856	4	0	_uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio7867563 _zFull text available from SpringerLink ebooks - Mathematics and Statistics (2008)
910			_aBowker Global Books in Print record
942			_2ddc _cBOOK
999			_c35590 _d270090