Probability with STEM Applications
3. Auflage Februar 2021
640 Seiten, Softcover
Wiley & Sons Ltd
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Probability with STEM Applications, Third Edition, is an accessible and well-balanced introduction to post-calculus applied probability. Integrating foundational mathematical theory and the application of probability in the real world, this leading textbook engages students with unique problem scenarios and more than 1100 exercises of varying levels of difficulty. The text uses a hands-on, software-oriented approach to the subject of probability. MATLAB and R examples and exercises -- complemented by computer code that enables students to create their own simulations -- demonstrate the importance of software to solve problems that cannot be obtained analytically.
Revised and updated throughout, the textbook covers random variables and probability distributions, the basics of statistical inference, Markov chains, stochastic processes, signal processing, and more. This new edition is the perfect text for both year-long and single-semester mathematics and statistics courses, student engineers and scientists, and business and social science majors wanting to learn the quantitative aspects of their disciplines.
Introduction
Chapter 1: Introduction to Probability
Chapter 2: Conditional Probability and Independence
Chapter 3: Discrete Probability Distributions: General Properties
Chapter 4: Families of Discrete Distributions
Chapter 5: Continuous Probability Distributions: General Properties
Chapter 6: Families of Continuous Distributions
Chapter 7: Joint Probability Distributions
Chapter 8: Joint Probability Distributions: Additional Topics
Chapter 9: The Basics of Statistical Inference
Chapter 10: Markov Chains
Chapter 11: Random Processes
Chapter 12: Families of Random Processes
Chapter 13: Introduction to Signal Processing
Appendix A: Statistical Tables
Appendix B: Background Mathematics
Appendix C: Important Probability Distributions
Solutions to Odd-Numbered Exercises
References
Index
