Full Description

Responsibility Statement Leo Breiman
Language Code eng
Edition
Collection Source IG Publishing/IG Library
Cataloguing Source LibUI eng rda
Content Type text (rdacontent)
Media Type computer (rdamedia)
Carrier Type online resources (rdacarrier)
Physical Description xv, 421 pages : illustration
Link http://portal.igpublish.com/iglibrary/search/SIAMB0000064.main.html?31
 
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Call Number Barcode Number Availability
e20448050 02-17-375995873 TERSEDIA
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 Abstract
Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime.