Well known for the clear nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory.
"synopsis" may belong to another edition of this title.
'This excellent textbook by L. Breiman, which was used by many people to learn probability and which was out of print for some years, is again available as an unchanged republication. It gives an introduction to probability based on measure theory.' F. Hofbauer, Monatschefte für Mathematik
'A reprint of the 1986 Addison-Wesley text, long out of print (TR, October 1968). This is one of the true classics in the field of probability and its reappearance is welcome. At this price it belongs on the shelf of every student and professional in the area.' American Mathematical Monthly
'The style of writing is very informal and chatty. With a few exceptions this goes over quite well. Though one might reproach the author with an undue haste in keeping the reader's attention, and in skimming the cream of many subjects, the overall effect is good and may to some extent alleviate the discouragement of many non-specialists who want a reasonably modern account not overly encumbered with heavy analytic and set-theoretic preliminaries.' D. A. Darling, Mathematical Reviews
'This book is written on an advanced graduate level and addresses statisticians, engineers, and mathematicians who are interested in probability theory and measure and function theory.' Ion A. Craciun, Recenzii
This reprint volume is an excellent introduction to mathematical probability theory, suitable for graduate-level use in probability courses or as a supplement for courses in stochastic processes or mathematical statistics. The readability and clarity of the style help students understand why things work, instead of handing them a theorem-proof regime.
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Seller: West With The Night, Tucson, AZ, U.S.A.
Trade paperback. Trade paperback (US). Glued binding. 435 p. Contains: Illustrations. Classics in Applied Mathematics, 7. Audience: General/trade. Very good. light shelfwear, one inch closed tear to the back of the cover, po name. Seller Inventory # Alibris.0028071
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Condition: Very Good. paperback. Wrappers are firm, text block clean, without highlights/underlining or markings. Some rubbing/curling to wrappers. Nearly brand new. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Seller Inventory # BAY21-00174
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Condition: Like New. paperback. Text block, wrappers and binding are in like new condition, without markings of any kind. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Seller Inventory # BAY07-00074
Seller: Mercantile Books, Columbus, OH, U.S.A.
paperback. Condition: Very Good. Pages clean, unmarked. Cover has light wear. Shipped promptly with Tracking. 331. Seller Inventory # RO-YUE9-32FR
Seller: Hyde Brothers, Booksellers, Fort Wayne, IN, U.S.A.
Softcover. Condition: Very Good. Green paper binding rubbed at extremities; owner's name inked on front free endpaper; leaf edges smudged, else tight and clean. ; In wraps; CLASSICS IN APPLIED MATHEMATICS 7. ; CLASSICS IN APPLIED MATHEMATICS 7 Series; 8vo; 421 pages. Seller Inventory # 53207
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 773645
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 1992. Paperback. . . . . . Seller Inventory # V9780898712964
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. reprint edition. 435 pages. 9.00x6.00x0.75 inches. In Stock. Seller Inventory # __0898712963
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 773645
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Reprint. 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. Seller Inventory # LU-9780898712964
Quantity: 1 available