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A course in probability / Neil A. Weiss, with contributions from Paul T. Holmes, Michael Hardy.

By: Weiss, N. A. (Neil A.).
Contributor(s): Holmes, Paul T | Hardy, Michael.
Publisher: Boston : Pearson Addison Wesley, c2006Description: xviii, 742, 39, 8 p. : ill. ; 24 cm.ISBN: 0201774712 (hbk.).Other title: Probability.Subject(s): ProbabilitiesDDC classification: 519.2
Contents:
Part 1. Fundamentals of probability: 1. Probability basics - 2. Mathematical probability - 3. Combinational probability - 4. Conditional probability and independence -- Part 2. Discrete random variables: 5. Discrete random variables and their distributions - 6. Jointly discrete random variables - 7. Expected value of discrete random variables -- 3. Continuous random variables: 8. Continuous random variables and their distributions - 9. Jointly continuous random variables - 10. Expected value of continuous random varialbes -- Part 4. Limit theorems and applications: 11. Generating functions and limit theories - 12. Applications of probability theory.
Item type Current location Call number Copy number Status Notes Date due Barcode Remark
Graduate Collection TU External Storage-LCS
519.2 WEI (Browse shelf) 1 Available SHTEx,70002,03,GR 1000808513 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1

Includes index.

Part 1. Fundamentals of probability: 1. Probability basics - 2. Mathematical probability - 3. Combinational probability - 4. Conditional probability and independence -- Part 2. Discrete random variables: 5. Discrete random variables and their distributions - 6. Jointly discrete random variables - 7. Expected value of discrete random variables -- 3. Continuous random variables: 8. Continuous random variables and their distributions - 9. Jointly continuous random variables - 10. Expected value of continuous random varialbes -- Part 4. Limit theorems and applications: 11. Generating functions and limit theories - 12. Applications of probability theory.