
Introduction to Probability and Statistics for Engineers and Scientists
Resources
Description
Key Features
- Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists
- Features examples that use significant real data from actual studies across life science, engineering, computing and business
- Includes new coverage to support the use of R
- Offers new chapters on big data techniques
Readership
Undergraduate and graduate students in statistics, engineering or other sciences
Table of Contents
-
CHAPTER 1 Introduction to statistics
CHAPTER 2 Descriptive statistics
CHAPTER 3 Elements of probability
CHAPTER 4 Random variables and expectation
CHAPTER 5 Special random variables
CHAPTER 6 Distributions of sampling statistics
CHAPTER 7 Parameter estimation
CHAPTER 8 Hypothesis testing
CHAPTER 9 Regression
CHAPTER 10 Analysis of variance
CHAPTER 11 Goodness of fit tests and categorical data analysis
CHAPTER 12 Nonparametric hypothesis tests
CHAPTER 13 Quality control
CHAPTER 14 Life testing
CHAPTER 15 Simulation, bootstrap statistical methods, and permutation tests
CHAPTER 16 Machine learning and big data
Product details
- No. of pages: 704
- Language: English
- Copyright: © Academic Press 2020
- Published: September 11, 2020
- Imprint: Academic Press
- eBook ISBN: 9780128177471
- Hardcover ISBN: 9780128243466
About the Author
Sheldon Ross

Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Philippe R. Fri Oct 29 2021
Quick and Simple
Quick and Simple
David Mon Apr 19 2021
Good book but paperback needed
Very nice book but a student paperback cheaper version is needed immediately.