Probability and Measure Theory,
Edition 2Editors: By Robert B. Ash and Catherine A. Doleans-Dade
Publication Date:
06 Dec 1999
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Description
Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion.Key Features
- Clear, readable style
- Solutions to many problems presented in text
- Solutions manual for instructors
- Material new to the second edition on ergodic theory, Brownian motion, and convergence theorems used in statistics
- No knowledge of general topology required, just basic analysis and metric spaces
- Efficient organization
About the author
By Robert B. Ash, University of Illinois, Urbana-Champaign, U.S.A.; and Catherine A. Doleans-Dade, University of Illinois, Urbana-Champaign, U.S.A.
Summary of Notation
Fundamentals of Measure and Integration Theory.
Further Results in Measure and Integration Theory.
Introduction to Functional Analysis.
Basic Concepts of Probability.
Conditional Probability and Expectation.
Strong Laws of Large Numbers and Martingale Theory.
The Central Limit Theorem.
Ergodic Theory.
Brownian Motion and Stochastic Integrals.
Fundamentals of Measure and Integration Theory.
Further Results in Measure and Integration Theory.
Introduction to Functional Analysis.
Basic Concepts of Probability.
Conditional Probability and Expectation.
Strong Laws of Large Numbers and Martingale Theory.
The Central Limit Theorem.
Ergodic Theory.
Brownian Motion and Stochastic Integrals.
Title Reviews
"There are numerous probability texts on the market, which makes choosing one difficult. If you are a financial professional who knows basic probability theory, but wants to take the next step in sophistication, this is the essential text. It introduces basic measure theory and functional analysis, and then delves into probability. The writing is clear and highly accessible. The choice of topics is perfect for financial engineers or financial risk managers: martingales, the inversion theorem, the central limit theorem, Brownian motion and stochastic integrals. I can't praise this book enough. It is exceptional!"—http://www.contingencyanalysis.com
ISBN:
9780120652020
Page Count:
528
Retail Price (USD)
:
Ross: INTRODUCTION TO PROBABILITY MODELS, FIFTH EDITION (1993, ISBN: 0-12-598455-3)
Taylor/Karlin: AN INTRODUCTION TO STOCHASTIC MODELING, REVISED EDITION (1993, ISBN: 0-12-684885-8)
Chung: A COURSE IN PROBABILITY THEORY, SECOND EDITION (1974, ISBN: 0-12-174650-X)
Allen: PROBABILITY, STATISTICS, AND QUEING THEORY, SECOND EDITION (1990, ISBN: 0-12-051051-0)
Taylor/Karlin: AN INTRODUCTION TO STOCHASTIC MODELING, REVISED EDITION (1993, ISBN: 0-12-684885-8)
Chung: A COURSE IN PROBABILITY THEORY, SECOND EDITION (1974, ISBN: 0-12-174650-X)
Allen: PROBABILITY, STATISTICS, AND QUEING THEORY, SECOND EDITION (1990, ISBN: 0-12-051051-0)
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Graduate students, faculty, and other professionals in mathematics, statistics, engineering, and economics; also, graduate students and professionals in physics and computer science