Synopses & Reviews
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.
Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e
About the Author
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.
University of Southern California, Los Angeles, USA
Table of Contents
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
Ch10 Analysis of Variance
Ch11 Goodness of Fit Tests and Categorical Data Analysis
Ch13 Quality Control
Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests
Appendix of Tables