Introduction to Probability by J. Laurie Snell and Charles M. Grinstead (2012, Trade Paperback)
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About this product
Product Identifiers
PublisherAmerican Mathematical Society
ISBN-100821894145
ISBN-139780821894149
eBay Product ID (ePID)234294550
Product Key Features
Number of Pages510 Pages
Publication NameIntroduction to Probability
LanguageEnglish
Publication Year2012
SubjectProbability & Statistics / General
FeaturesNew Edition
TypeTextbook
AuthorJ. Laurie Snell, Charles M. Grinstead
Subject AreaMathematics
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight32.5 Oz
Item Length9.9 in
Item Width7 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
Dewey Edition21
IllustratedYes
Dewey Decimal519.2
Table Of ContentDiscrete probability distributions (Chapter 1); Continuous probability densities (Chapter 2); Combinatorics (Chapter 3); Conditional probability (Chapter 4); Distributions and densities (Chapter 5); Expected value and variance (Chapter 6); Sums of independent random variables (Chapter 7); Law of large numbers (Chapter 8); Central limit theorem (Chapter 9); Generating functions (Chapter 10); Markov chains (Chapter 11); Random walks (Chapter 12); Appendices; Index.
Edition DescriptionNew Edition
SynopsisThis text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject., This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Features: Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems.