probability measures metric spaces di parthasarathy k r (23 risultati)

Hardcover. Condizione: Very Good. No Jacket. Former library book; Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

hardcover. Condizione: Good. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.

Later Printing. Hardcover, very good with light wear. Book.

hardcover. Condizione: 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!

Original cloth. Condizione: Very Good. Condizione sovraccoperta: Very Good-. First Edition. Original blue cloth with original printed dustjacket with plastic protective wrap. With ex-library stamps and labels. With tear to front cover of plastic protective wrap, dustjacket otherwise unharmed. Slight wear and slight soiling to spine, covers, corners, dustjacket and plastic protective wrap. ; 23.5x16x2 cm; xi, 276 pages.

xi, 276p., original blue cloth (Prabability and mathematical statistics, 3).

Condizione: Fair. Volume 3. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:

Condizione: New.

Condizione: New.

Paperback. Condizione: New. In this book, the author gives a cohesive account of the theory of probability measures on complete metric spaces (which is viewed 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, the author 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 space of continuous functions on an interval. This book is suitable for graduate students and researchers interested in probability and stochastic processes and would make an ideal supplementary reading or independent study text.

Condizione: 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. . . . . .

Hardback. Condizione: 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.

Condizione: 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.

Paperback. Condizione: Brand New. 276 pages. 5.98x0.98x9.02 inches. In Stock.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 684.

Hardcover. Condizione: Brand New. new edition edition. 276 pages. 10.24x7.17x0.79 inches. In Stock.

Einband - fest (Hardcover). Condizione: New. 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 .

Paperback. Condizione: Brand New. 288 pages. 9.25x6.00x0.65 inches. In Stock.

Paperback. Condizione: New. In this book, the author gives a cohesive account of the theory of probability measures on complete metric spaces (which is viewed 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, the author 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 space of continuous functions on an interval. This book is suitable for graduate students and researchers interested in probability and stochastic processes and would make an ideal supplementary reading or independent study text.

Hardback. Condizione: 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.

Hardcover. Condizione: New. New. book.

Condizione: new.

Condizione: Buone. inglese Condizioni dell'esterno: Discrete con difetti, segni d'uso manca sovraccoperta Condizioni dell'interno: Discrete con Difetti, bruniture.