About the Author:
George G. Roussas received his B.A. in Mathematics at the University of Athens, Greece, and his Ph.D. in Statistics at the University of California, Berkeley. Roussas is currently Professor and Associate Dean of Statistics at the University of California, Davis. His teaching career began at the University of Wisconsin, Madison. Then he was a Professor of Applied Mathematics at the University of Patras, Greece, and also served as the Dean of the College of Sciences and as Chancellor of that University. At the University of Crete, Greece, Roussas served as Vice President of Academic Affairs. Roussas has published several books, and had more than 65 research papers published in refereed journals. He is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the Royal Statistical Society, and is an elected member of the International Statistical Institute. Finally, Roussas is the Associate Editor of two journals, Statistics and Probability Letters, and Nonparametric Statistics.
From the Back Cover:
Roussas introduces readers to a thinking process that guides them toward the best solution to a posed question or situation. Requiring no previous experience with probability or statistics, An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic. Readers gain intuition, and abundant practical experience in applying statistical methods to different situations.
"The text is wonderfully written and has the most comprehensive range of exercise problems that I have ever seen."-Tapas K. Das, University of South Florida
"The exposition is great; a mixture between conversational tones and formal mathematics; the appropriate combination for a math text at (this) level. In my examination I could find no instance where I could improve the book." - H. Pat Goeters, Auburn, University, Alabama
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