A Course in Probability by Neil A. Weiss

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Synopsis

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.
 

About Neil A. Weiss

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Neil A. Weiss received his Ph.D. from UCLA in 1970 and subsequently accepted an assistant-professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematics--from the freshman level to the advanced graduate level--for more than 30 years. In recognition of his excellence in teaching, he received the "Dean's Quality Teaching Award "from the ASU College of Liberal Arts and Sciences. Dr. Weiss' comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound. In addition to his numerous research publications, Dr. Weiss is the author of "A Course in Probability "(Addison-Wesley, 2006). He has also authored or coauthored books in finite mathematics, statistics, and real analysis, and is currently working on a new book on applied regression analysis and the analysis of variance. His texts--well known for their precision, readability, and pedagogical excellence--are used worldwide. Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration over 20 years ago in the book "Introductory Statistics "(Addison-Wesley, 1982). Weiss and Addison-Wesley continue that pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field. In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold 'em poker. He is married and has two sons.
 
Published February 18, 2005 by Pearson. 816 pages
Genres: Science & Math. Non-fiction

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