Probability: the science of uncertainty with applications to investments, insurance and engineering (Record no. 101692)

MARC details
000 -LEADER
fixed length control field 04674nam a2200181Ia 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9812548823
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2 BEA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bean, Michael A
245 ## - TITLE STATEMENT
Title Probability: the science of uncertainty with applications to investments, insurance and engineering
250 ## - EDITION STATEMENT
Edition statement -
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Thomson
Place of publication, distribution, etc. Delhi
Date of publication, distribution, etc. 2004
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 448
Other physical details 24 cm ; Pbk
500 ## - GENERAL NOTE
General note Rs.1140/-
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Table of Contents<br/><br/>1. Introduction<br/>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/>Chapter Summary<br/>Further Reading<br/>2. 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/>Chapter Summary<br/>Exercises<br/>3. Classical Probability<br/>The Formal Language of Classical Probability<br/>Conditional Probability<br/>The Law of Total Probability<br/>Bayes' Theorem<br/>Chapter Summary<br/>Exercises<br/>Appendix on Sets, Combinatorics, and Basic Probability Rules<br/>4. Random Variables and Probability Distributions <br/><br/> 4.1 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/>Exercises<br/> 4.2 Statistical Measures of Expectation, Variation, and Risk<br/>Expectation<br/>Deviation from Expectation<br/>Higher Moments<br/>Exercises<br/> 4.3 Alternative Ways of Specifying Probability Distributions<br/>Moment and Cumulant Generating Functions<br/>Survival and Hazard Functions<br/>Exercises<br/> 4.4 Chapter Summary<br/> 4.5 Additional Exercises <br/> 4.6 Appendix on Generalized Density Functions (Optional)<br/>5. Special Discrete Distributions<br/>The Binomial Distribution<br/>The Poisson Distribution<br/>The Negative Binomial Distribution<br/>The Geometric Distribution<br/>Exercises<br/>6. Special Continuous Distributions<br/><br/> 6.1 Special Continuous Distributions for Modeling Uncertain Sizes<br/>The Exponential Distribution<br/>The Gamma Distribution<br/>The Pareto Distribution<br/> 6.2 Special Continuous Distributions for Modeling Lifetimes <br/>The Weibull Distribution<br/>The DeMoivre Distribution<br/> 6.3 Other Special Distributions <br/>The Normal Distribution<br/>The Lognormal Distribution<br/>The Beta Distribution<br/> 6.4 Exercises <br/>7. Transformations of Random Variables <br/>Determining the Distribution of a Transformed Random Variable<br/>Expectation of a Transformed Random Variable <br/>Insurance Contracts with Caps, Deductibles, and Coinsurance (Optional) <br/>Life Insurance and Annuity Contracts (Optional) <br/>Reliability of Systems with Multiple Components or Processes (Optional) <br/>Trigonometric Transformations (Optional) <br/>Exercises <br/>8. Sums and Products of Random Variables<br/><br/> 8.1 Techniques for Calculating the Distribution of a Sum <br/>Using the Joint Density<br/>Using the Law of Total Probability<br/>Convolutions<br/> 8.2 Distributions of Products and Quotients<br/> 8.3 Expectations of Sums and Products<br/>Formulas for the Expectation of a Sum or Product<br/>The Cauchy-Schwarz Inequality<br/>Covariance and Correlation<br/> 8.4 The Law of Large Numbers<br/>Motivating Example: Premium Determination in Insurance<br/>Statement and Proof of the Law<br/>Some Misconceptions Surrounding the Law of Large Numbers<br/> 8.5 The Central Limit Theorem<br/> 8.6 Normal Power Approximations (Optional)<br/> 8.7 Exercises<br/>9. Mixtures and Compound Distributions <br/>Definitions and Basic Properties <br/>Some Important Examples of Mixtures Arising in Insurance <br/>Mean and Variance of a Mixture <br/>Moment Generating Function of a Mixture <br/>Compound Distributions <br/>General Formulas<br/>Special Compound Distributions<br/>Exercises<br/>10. The Markowitz Investment Portfolio Selection Model<br/>Portfolios of Two Securities <br/>Portfolios of Two Risky Securities and a Risk-Free Asset<br/>Portfolio Selection with Many Securities <br/>The Capital Asset Pricing Model <br/>Further Reading<br/>Exercises <br/>Appendixes<br/>The Gamma Function<br/>The Incomplete Gamma Function<br/>The Beta Function<br/>The Incomplete Beta Function<br/>The Standard Normal Distribution<br/>Mathematica Commands for Generating the Graphs of Special Distributions<br/>Elementary Financial Mathematics<br/>Answers to Selected Exercises <br/>Index
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics ; probability
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://bookstore.ams.org/amstext-6">http://bookstore.ams.org/amstext-6</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
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