Parthasarathy builds far in advance of the general theory of stochastic processes as the theory of probability measures in complete separable metric spaces. He begins with the Borel subsets of a metric space and proceeds to explain probability measures in a metric space, probability measures in a metric group, probability measures in locally compact abelian groups, the Kolmogorov consistency theorem and conditional probability, probability measures in a Hilbert space, and probability measures on C[0,1] and D[0,1]. Parthasarathy includes a comprehensive bibliography and bibliographic notes. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
"synopsis" may belong to another edition of this title.
US$ 5.00 shipping within U.S.A.
Destination, rates & speedsSeller: Winged Monkey Books, Arlington, VA, U.S.A.
Later Printing. Hardcover, very good with light wear. Book. Seller Inventory # 024428
Quantity: 1 available
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_376344238
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 6019553-n
Quantity: 1 available
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. new edition edition. 276 pages. 10.24x7.17x0.79 inches. In Stock. Seller Inventory # __082183889X
Quantity: 1 available
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2005. New edition. Hardcover. Presents an account of the theory of probability measures on complete metric spaces. This title includes a description of the basics of topology on the set of measures. It discusses regularity, tightness, and perfectness of measures, properties of sampling distributions, and metrizability and compactness theorems. Series: AMS Chelsea Publishing. Num Pages: 276 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 260 x 182 x 12. Weight in Grams: 670. . . . . . Seller Inventory # V9780821838891
Quantity: 1 available
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Having been out of print for over 10 years, the AMS is delighted to bring this classic volume back to the mathematical community. With this fine exposition, the author gives a cohesive account of the theory of probability measures on complete metric spaces (which he views as an alternative approach to the general theory of stochastic processes). After a general description of the basics of topology on the set of measures, he discusses regularity, tightness, and perfectness of measures, properties of sampling distributions, and metrizability and compactness theorems.Next, he describes arithmetic properties of probability measures on metric groups and locally compact abelian groups. Covered in detail are notions such as decomposability, infinite divisibility, idempotence, and their relevance to limit theorems for 'sums' of infinitesimal random variables. The book concludes with numerous results related to limit theorems for probability measures on Hilbert spaces and on the spaces $C[0,1]$. ""The Mathematical Reviews"" comments about the original edition of this book are as true today as they were in 1967. It remains a compelling work and a priceless resource for learning about the theory of probability measures. The volume is suitable for graduate students and researchers interested in probability and stochastic processes and would make an ideal supplementary reading or independent study text. Seller Inventory # LU-9780821838891
Quantity: 2 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 6019553
Quantity: 1 available
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2005. New edition. Hardcover. Presents an account of the theory of probability measures on complete metric spaces. This title includes a description of the basics of topology on the set of measures. It discusses regularity, tightness, and perfectness of measures, properties of sampling distributions, and metrizability and compactness theorems. Series: AMS Chelsea Publishing. Num Pages: 276 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 260 x 182 x 12. Weight in Grams: 670. . . . . . Books ship from the US and Ireland. Seller Inventory # V9780821838891
Quantity: 1 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xi + 276 Illus. Seller Inventory # 7954549
Quantity: 3 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 6019553-n
Quantity: 5 available