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
Pay easily by card, Klarna, Apple Pay or Google Pay. Not happy? You always have a 14-day money-back guarantee. Read more in our terms. If you have any questions, email us at hello@memmo.org.
Memmo makes studying easier – wherever you are in the world. We bring your course books and smart study tools together in one place: summaries, quizzes, podcasts and flashcards. Plus Ted, your study buddy who answers anything you wonder. Over 75,000 students already study here – built to help you learn faster and stress less.