
Probability with STEM Applications
Wiley (Publisher)
Will be published approx. on 4. March 2021
Book
Paperback/Softback
640 pages
978-1-119-71786-7 (ISBN)
Description
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.
More details
Edition
3rd Edition
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 249 mm
Width: 201 mm
Thickness: 28 mm
Weight
1089 gr
ISBN-13
978-1-119-71786-7 (9781119717867)
Schweitzer Classification
Persons
Author
California Polytechnic State University
California Polytechnic State University
Content
Preface
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