Probability and measure theory

By: Robert B. AshContributor(s): Catherine A. Doleans-DadeMaterial type: TextTextPublication details: U.S.A.: Academic Press, [c2000]Edition: 2nd edDescription: 516 pISBN: 9780123910950Subject(s): MathematicsLOC classification: QA273
Contents:
1. Fundamentals of Measure and Integration Theory. 2. Further Results in Measure and Integration Theory. 3. Introduction to Functional Analysis. 4. Basic Concepts of Probability. 5. Conditional Probability and Expectation. 6. Strong Laws of Large Numbers and Martingale Theory. 7. The Central Limit Theorem. 8. Ergodic Theory. 9. Brownian Motion and Stochastic Integrals.
Summary: 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. --- summary provided by publisher
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Item type Current library Collection Shelving location Call number Status Notes Date due Barcode Item holds
Book Book ICTS
Mathematic Rack No 5 QA273 (Browse shelf (Opens below)) Available Billno:IN 004 702; Billdate: 2018-03-08 01017
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1. Fundamentals of Measure and Integration Theory.
2. Further Results in Measure and Integration Theory.
3. Introduction to Functional Analysis.
4. Basic Concepts of Probability.
5. Conditional Probability and Expectation.
6. Strong Laws of Large Numbers and Martingale Theory.
7. The Central Limit Theorem.
8. Ergodic Theory.
9. Brownian Motion and Stochastic Integrals.

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. --- summary provided by publisher

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