Table of Contents

1. Introduction to Statistics
2. Descriptive Statistics
3. Elements of Probability
4. Random Variables and Expectation
5. Special Random Variables
6. Distributions of Sampling Statistics
7. Parameter Estimation
8. Hypothesis Testing
9. Regression
10. Analysis of Variance
11. Goodness of Fit Tests and Categorical Data Analysis
12. NonparametricHypothesisTests
13. Quality Control
14. LifeTesting
15. Simulation, Bootstrap Statistical Methods, and Permutation Tests

About the Author

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.