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First Course in Probability by Sheldon M. Ross (2005, Hardcover)
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FIRST COURSE IN PROBABILITY, A (7TH EDITION) By Sheldon Ross - Hardcover **BRAND NEW**.
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About this product
Product Identifiers
PublisherPrentice Hall PTR
ISBN-100131856626
ISBN-139780131856622
eBay Product ID (ePID)45416443
Product Key Features
Number of Pages576 Pages
LanguageEnglish
Publication NameFirst Course in Probability
SubjectProbability & Statistics / General
Publication Year2005
FeaturesRevised
TypeTextbook
AuthorSheldon M. Ross
Subject AreaMathematics
FormatHardcover
Dimensions
Item Height0.4 in
Item Weight34.3 Oz
Item Length9.3 in
Item Width7 in
Additional Product Features
Edition Number7
Intended AudienceTrade
LCCN2005-047691
TitleLeadingA
Dewey Edition22
IllustratedYes
Dewey Decimal519.2
Edition DescriptionRevised edition
Table Of Content 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. Additional Topics in Probability. 10. Simulation. Appendix A. Answers to Selected Problems. Appendix B. Solutions to Self-Test Problems and Exercises. Index.
SynopsisFor upper-level or undergraduate/graduate level introduction to probability for math, science, engineering, and business students with a background in elementary calculus. This highly successful text is written as an elementary introduction to the mathematical theory of probability for students in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus., This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Includes a software diskette, referenced in the book and packaged with each copy, that provides an easy-to-use tool for readers to derive probabilities for binomial. Presents new examples and exercises throughout. Offers a new section that presents an elegant way of computing the moments of random variables defined as the number of events that occur. Gives applications to binomial, hypergeometric, and negative hypergeometric random variables, as well as random variables resulting from coupon collecting and match models. Provides additional results on inclusion-exclusion identity, Poisson paradigm, multinomial distribution, and bivariate normal distribution A useful reference for engineering and science professionals.
LC Classification NumberQA273.R83 2006
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- May 01, 2022
Very affordable pricing!
Very affordable pricing! Will be using the book for self-learning.Verified purchase: YesCondition: Pre-owned
