Probability with STEM Applications, 3/e (Paperback)

本書序言

●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

本書特色

●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

Matthew A. Carlton - California Polytechnic State University
Jay L. Devore - California Polytechnic State University (Emeritus)

Introduction
1 Introduction to Probability
2 Conditional Probability and Independence
3 Discrete Probability Distributions: General Properties
4 Families of Discrete Distributions
5 Continuous Probability Distributions: General Properties
6 Families of Continuous Distributions
7 Joint Probability Distributions
8 Joint Probability Distributions: Additional Topics
9 The Basics of Statistical Inference
10 Markov Chains
11 Random Processes
12 Families of Random Processes
13 Introduction to Signal Processing
A Statistical Tables
B Background mathematics
C Important Probability Distributions
Answers to Odd-Numbered Exercises