Mathematical Statistics describes the mathematical underpinnings associated with the practice of statistics. The pre-requisite for this book is a calculus-based course in probability. Nearly 200 figures and dozens of Monte Carlo simulation experiments in R help develop the intuition behind the statistical methods. Real-world problems from a wide range of fields help the reader apply the statistical methods. Over 300 exercises are used to reinforce concepts and make this book appropriate for classroom use. The table of contents for this book is:

1. Random Sampling2. Point Estimation3. Interval Estimation4. Hypothesis Testing

About the Author

Lawrence Leemis, PhD, is a professor in the Department of Mathematics at William & Mary. He has written eight books, published over 100 journal articles, book chapters, and proceedings papers, and won 12 teaching awards. He has consulted for several dozen government, corporate, and non-profit entities.

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