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A first course in probability / Sheldon Ross.

By: Material type: TextTextPublisher: Harlow : Pearson, [2014]Copyright date: ©2014Edition: Ninth edition; Pearson new international editionDescription: 454 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1292024925
  • 9781292024929
Other title:
  • 1st course in probability
Subject(s): DDC classification:
  • 519.2 23
LOC classification:
  • QA273
Contents:
1. Combinatorial Analysis -- 2. Axioms of Probability -- 3. Conditional Probability and Independence -- 4. Random Variables -- 5. Continuous Random Variables -- 6. Jointly Distributed Random Variables -- 7. Properties of Expectation -- 8. Limit Theorems -- 9. Simulation -- Common Distributions.
Summary: "A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus."--Publisher's website.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.2 ROS (Browse shelf(Opens below)) 1 Available A557318B
Book City Campus City Campus Main Collection 519.2 ROS (Browse shelf(Opens below)) 1 Available A557317B
Book City Campus City Campus Main Collection 519.2 ROS (Browse shelf(Opens below)) 1 Available A557316B

Includes index.

1. Combinatorial Analysis -- 2. Axioms of Probability -- 3. Conditional Probability and Independence -- 4. Random Variables -- 5. Continuous Random Variables -- 6. Jointly Distributed Random Variables -- 7. Properties of Expectation -- 8. Limit Theorems -- 9. Simulation -- Common Distributions.

"A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus."--Publisher's website.

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