Preface Introduction to Statistics Describing Data Sets Using Statistics to Summarize Data Sets Probability Discrete Random Variables Normal Random Variables Distributions of Sampling Statistics Estimation Testing Statistical Hypotheses Hypothesis Tests Concerning Two Populations Analysis of Variance Linear Regression Chi-Squared Goodness of Fit Tests Nonparametric Hypotheses Tests Quality Control Appendixes
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- © Academic Press 2005
- 11th July 2005
- Academic Press
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Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
University of Southern California, Los Angeles, USA