9780201774719-0201774712-Course in Probability, A

Course in Probability, A

ISBN-13: 9780201774719
ISBN-10: 0201774712
Edition: 1
Author: Neil Weiss
Publication date: 2005
Publisher: Pearson
Format: Paperback 816 pages
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Book details

ISBN-13: 9780201774719
ISBN-10: 0201774712
Edition: 1
Author: Neil Weiss
Publication date: 2005
Publisher: Pearson
Format: Paperback 816 pages

Summary

Course in Probability, A (ISBN-13: 9780201774719 and ISBN-10: 0201774712), written by authors Neil Weiss, was published by Pearson in 2005. With an overall rating of 4.4 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Course in Probability, A (Paperback, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.93.

Description

This text is intended primarily for readers interested in mathematical probability as applied to mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented readers in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable.

Fundamentals of Probability: Probability Basics. Mathematical Probability. Combinatorial Probability. Conditional Probability and Independence. Discrete Random Variables: Discrete Random Variables and Their Distributions. Jointly Discrete Random Variables. Expected Value of Discrete Random Variables. Continuous Random Variables: Continuous Random Variables and Their Distributions. Jointly Continuous Random Variables. Expected Value of Continuous Random Variables. Limit Theorems and Advanced Topics: Generating Functions and Limit Theorems. Additional Topics.

For all readers interested in probability.
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