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ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2006]
Springer 2006-07-27 2006 ed. Hardcover Good USED-VARIOUS AMOUNTS OF WEAR-POSSIBLE HIGHLIGHTS-WE CANNOT GUARANTEE SUPPLEMENTS SUCH AS CD, ACCESS CODE, OR INFO TRAC.
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer New York 2006-07-27, New York] Hardcover Language: ENG [London, United Kingdom] [Publication Year: 2006]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This book arose out of two graduate courses that the authors have taught duringthepastseveralyears;the rstonebeingonmeasuretheoryfollowed by the second one on advanced probability theory. The traditional approach to a rst course in measure theory, such as in Royden (1988), is to teach the Lebesgue measure on the real line, then the p di erentation theorems of Lebesgue, L -spaces on R, and do general m- sure at the end of the course with one main application to the construction of product measures. This approach does have the pedagogic advantage of seeing one concrete case rst before going to the general one. But this also has the disadvantage in making many students' perspective on m- sure theory somewhat narrow. It leads them to think only in terms of the Lebesgue measure on the real line and to believe that measure theory is intimately tied to the topology of the real line. As students of statistics, probability, physics, engineering, economics, and biology know very well, there are mass distributions that are typically nonuniform, and hence it is useful to gain a general perspective. This book attempts to provide that general perspective right from the beginning. The opening chapter gives an informal introduction to measure and integration theory. It shows that the notions of -algebra of sets and countable additivity of a set ...
Springer-Verlag New York Inc, Date: 2006. Hardcover. New. 1st edition. 618 pages. 9.25x6.25x1.25 inches. 2006. Springer-Verlag New York Inc ISBN 038732903X 9780387329031 [GB]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer New York 2006-07-27, New York] Hardcover Language: ENG [London, United Kingdom] [Publication Year: 2006]
Hardback. New. This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory. It further provides heuristic explanations behind the theory to help students see the big picture. ISBN 038732903x 9780387329031 [GB]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This book arose out of two graduate courses that the authors have taught duringthepastseveralyears;the rstonebeingonmeasuretheoryfollowed by the second one on advanced probability theory. The traditional approach to a rst course in measure theory, such as in Royden (1988), is to teach the Lebesgue measure on the real line, then the p di erentation theorems of Lebesgue, L -spaces on R, and do general m- sure at the end of the course with one main application to the construction of product measures. This approach does have the pedagogic advantage of seeing one concrete case rst before going to the general one. But this also has the disadvantage in making many students' perspective on m- sure theory somewhat narrow. It leads them to think only in terms of the Lebesgue measure on the real line and to believe that measure theory is intimately tied to the topology of the real line. As students of statistics, probability, physics, engineering, economics, and biology know very well, there are mass distributions that are typically nonuniform, and hence it is useful to gain a general perspective. This book attempts to provide that general perspective right from the beginning. The opening chapter gives an informal introduction to measure and integration theory. It shows that the notions of -algebra of sets and countable additivity of a set ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Measure Theory and Probability Theory. ISBN 038732903x 9780387329031 [GB]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer-Verlag New York Inc.] Hardcover New copy - Usually dispatched within 4 working days. This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory. It further provides heuristic explanations behind the theory to help students see the big picture. [Southport, United Kingdom] [Publication Year: 2006]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer] Hardcover This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory. It further provides heuristic explanations behind the theory to help students see the big picture. Series: Springer Texts in Statistics. Num Pages: 637 pages, biography. BIC Classification: PBK; PBT; UY. Category: (P) Professional & Vocational. Dimension: 167 x 247 x 40. Weight in Grams: 1118. . 2006. 2006th Edition. Hardcover. . . . . Books ship from the US and Ireland. [Olney, MD, U.S.A.] [Publication Year: 2006]
ISBN10: 038732903X, ISBN13: 9780387329031, [publisher: Springer] Hardcover This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory. It further provides heuristic explanations behind the theory to help students see the big picture. Series: Springer Texts in Statistics. Num Pages: 637 pages, biography. BIC Classification: PBK; PBT; UY. Category: (P) Professional & Vocational. Dimension: 167 x 247 x 40. Weight in Grams: 1118. . 2006. 2006th Edition. Hardcover. . . . . [Galway, GY, Ireland] [Publication Year: 2006]
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When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
