Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists

3.41 (41 ratings by Goodreads)
By (author) 

List price: US$105.00

Currently unavailable

Add to wishlist

AbeBooks may have this title (opens in new window).

Try AbeBooks

Description

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.

As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications
apply probability theory to everyday statistical problems and situations.
show more

Product details

  • Hardback | 680 pages
  • 195.58 x 238.76 x 33.02mm | 1,338.09g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 4th edition
  • Approx. 140 illustrations
  • 0123704839
  • 9780123704832
  • 887,759

About Sheldon M. Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
show more

Table of contents

Preface
Ch1 Introduction to Statistics
Ch2 Descriptive Statistics
Ch3 Elements of Probability
Ch4 Random Variables and Expectation
Ch5 Special Random Variables
Ch6 Distributions of Sampling Statistics
Ch7 Parameter Estimation
Ch8 Hypothesis Testing
Ch9 Regression
Ch10 Analysis of Variance
Ch11 Goodness of Fit Tests and Categorical Data Analysis
Ch12 NonparametricHypothesisTests
Ch13 Quality Control
Ch14 LifeTesting
Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests
Appendix of Tables
show more

Rating details

41 ratings
3.41 out of 5 stars
5 27% (11)
4 27% (11)
3 20% (8)
2 15% (6)
1 12% (5)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X