An Introduction to Probability

€ 37,99

The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.
Contents:

  • Preface
  • Notations and Abbreviations
  • Permutation and Combination
  • Axiom of Probability
  • Conditional Probability
  • Random Variables
  • Discrete Random Variables
  • Continuous Random Variables
  • Jointly Distributed Random Variables
  • Dependence
  • Limit Theorems
  • A Terse Introduction to Mathematica
  • Answers to Odd-Numbered Problems
  • Index

Readership: Undergraduate students specialising in mathematics, engineering, computer science, actuarial science and business.
Key Features:

  • Uses MATHEMATICA as vehicle for experimenting with probability and its applications as opposed to an expositional medium for pedagogical purposes
  • Places more emphases on applications in various areas — particularly in financial mathematics and data analysis
  • Includes transform methods as a staple for working with random variables

The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.
Contents:

  • Preface
  • Notations and Abbreviations
  • Permutation and Combination
  • Axiom of Probability
  • Conditional Probability
  • Random Variables
  • Discrete Random Variables
  • Continuous Random Variables
  • Jointly Distributed Random Variables
  • Dependence
  • Limit Theorems
  • A Terse Introduction to Mathematica
  • Answers to Odd-Numbered Problems
  • Index

Readership: Undergraduate students specialising in mathematics, engineering, computer science, actuarial science and business.
Key Features:

  • Uses MATHEMATICA as vehicle for experimenting with probability and its applications as opposed to an expositional medium for pedagogical purposes
  • Places more emphases on applications in various areas — particularly in financial mathematics and data analysis
  • Includes transform methods as a staple for working with random variables
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