Synopsis
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
"synopsis" may belong to another edition of this title.
About the Author
PATRICK BILLINGSLEY is Professor of Statistics and Mathematics at the University of Chicago. He is the coauthor (with Watson et al.) of Statistics for Management and Economics; (with D. L. Huntsberger) of Elements of Statistical Inference; and the author of Convergence of Probability Measures (Wiley-Interscience), among other works. Dr. Billingsley has also edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
From the Back Cover
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Probability and Measure
Stock Image
Probability and Measure
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
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_429727056
Stock Image
Probability and Measure (Wiley Series in Probability and Statistics).
Seller: Antiquariat Bernhardt, Kassel, Germany
Seller rating 5 out of 5 stars
Karton. Condition: Sehr gut. Zust: Gutes Exemplar. 593 Seiten, mit Abbildungen, Englisch 1060g. Seller Inventory # 360636
Stock Image
Probability and Measure
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. Seller Inventory # BAY_15_SH_020778
Stock Image
Probability and Measure
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0471007102