Probability: The Science of Uncertainty- with Applications to Investments, Insurance, and Engineering (Record no. 39932)

MARC details
000 -LEADER
fixed length control field 02540nam a2200193 a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780534366032
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0534366031
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Item number BEA
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Bean,Michael A.
245 ## - TITLE STATEMENT
Title Probability: The Science of Uncertainty- with Applications to Investments, Insurance, and Engineering
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Australia ;
-- Pacific Grove, CA :
Name of publisher Brooks/Cole,
Year of publication ©2001.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii, 448 pages :
Other physical details illustrations ;
490 ## - SERIES STATEMENT
Series statement Brooks/Cole series in advanced mathmatics.
500 ## - GENERAL NOTE
General note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note What Is Probability? --<br/>How Is Uncertainty Quantified? --<br/>Probability in Engineering and the Sciences --<br/>What Is Actuarial Science? --<br/>What Is Financial Engineering? --<br/>Interpretations of Probability --<br/>Probability Modeling in Practice --<br/>Outline of This Book --<br/>A Survey of Some Basic Concepts Through Examples --<br/>Payoff in a Simple Game --<br/>Choosing Between Payoffs --<br/>Future Lifetimes --<br/>Simple and Compound Growth --<br/>Classical Probability --<br/>The Formal Language of Classical Probability --<br/>Conditional Probability --<br/>The Law of Total Probability --<br/>Bayes' Theorem --<br/>Appendix on Sets, Combinatorics, and Basic Probability Rules --<br/>Random Variables and Probability Distributions --<br/>Definitions and Basic Properties --<br/>What Is a Random Variable? --<br/>What Is a Probability Distribution? --<br/>Types of Distributions --<br/>Probability Mass Functions --<br/>Probability Density Functions --<br/>Mixed Distributions --<br/>Equality and Equivalence of Random Variables --<br/>Random Vectors and Bivariate Distributions --<br/>Dependence and Independence of Random Variables --<br/>The Law of Total Probability and Bayes' Theorem (Distributional Forms) --<br/>Arithmetic Operations on Random Variables --<br/>The Difference Between Sums and Mixtures --<br/>Statistical Measures of Expectation, Variation, and Risk --<br/>Expectation --<br/>Deviation from Expectation --<br/>Higher Moments --<br/>Alternative Ways of Specifying Probability Distributions --<br/>Moment and Cumulant Generating Functions --<br/>Survival and Hazard Functions --<br/>Appendix on Generalized Density Functions (Optional) --<br/>Special Discrete Distributions.
520 ## - SUMMARY, ETC.
Summary, etc This textbook for a one-semester course in probability covers combinatorial probability theory based on sets and counting, random variables and probability distribution, special discrete and continuous distributions, and transformations of random variables. A separate chapter provides four extended examples that apply many of the key concepts. Anno
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Probabilities.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference Books
Holdings
Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
Reference Main Library Main Library Reference 13/11/2008 Purchased 1000.00 519.2 BEA 011341 Reference Books

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