INTRODUCTION TO PROBABILITY, AN: WITH MATHEMATICA

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:
PrefaceNotations and AbbreviationsPermutation and CombinationAxiom of ProbabilityConditional ProbabilityRandom VariablesDiscrete Random VariablesContinuous Random VariablesJointly Distributed Random VariablesDependenceLimit TheoremsA Terse Introduction to MathematicaAnswers to Odd-Numbered ProblemsIndex
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 purposesPlaces more emphases on applications in various areas — particularly in financial mathematics and data analysisIncludes transform methods as a staple for working with random variables