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Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods.

Introduction to Mathematical Statistics, 7th edition Pearson Prentice Hall, 2012, ISBN 978-0-13-008507-8 eTextbook ISBN: 978-0-321-79543-4. Remarks: Solutions to selected problems are in the back of the book. We will cover selected topics from Chapters 4-11. Detailed schedule will be updated periodically on the course website.. The course roughly follows the text by Hogg, McKean, and Craig, Introduction to Mathematical Statistics, 7th edition, 2012, henceforth referred to as HMC. The author makes no guarantees that these notes are free of typos or other, more serious errors.

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Preface: Mathematical Statistics. After teaching mathematical statistics for several years using chalk on a black- board (and, later, smelly “dry erase markers” on a whiteboard) mostly doing proofs of theorems, I decided to lecture from computer slides that provide an outline of the “big picture”.

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