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 basic properties of
probability, random variables and their probability distributions, a
brief introduction to statistical inference, Markov chains, stochastic
processes, and signal processing. This new edition is the perfect text
for a one-semester course and contains enough additional material for an
entire academic year. The blending of theory and application will appeal
not only to mathematics and statistics majors but also to engineering
students, and quantitative business and social science majors.
New to this Edition:
- Offered as a traditional textbook and in enhanced ePub format,
containing problems with show/hide solutions and interactive applets
and illustrations
- Revised and expanded chapters on conditional probability and
independence, families of continuous distributions, and Markov chains
- New problems and updated problem sets throughout
Features:
- Introduces basic theoretical knowledge in the first seven chapters,
serving as a self-contained textbook of roughly 650 problems
- Provides numerous up-to-date examples and problems in R and MATLAB
- Discusses examples from recent journal articles, classic problems, and
various practical applications
- Includes a chapter specifically designed for electrical and computer
engineers, suitable for a one-term class on random signals and noise
- Contains appendices of statistical tables, background mathematics, and
important probability distributions
