
Preface  Preview Material  Table of Contents  Supplementary Material 
Graduate Studies in Mathematics 2011; 246 pp; hardcover Volume: 119 ISBN10: 0821852833 ISBN13: 9780821852835 List Price: US$67 Member Price: US$53.60 Order Code: GSM/119 See also: Lectures in Mathematical Statistics: Parts 1 and 2  Yu N Lin'kov Foundations and Applications of Statistics: An Introduction Using \(\mathsf{R}\)  Randall Pruim  This book is designed to bridge the gap between traditional textbooks in statistics and more advanced books that include the sophisticated nonparametric techniques. It covers topics in parametric and nonparametric largesample estimation theory. The exposition is based on a collection of relatively simple statistical models. It gives a thorough mathematical analysis for each of them with all the rigorous proofs and explanations. The book also includes a number of helpful exercises. Prerequisites for the book include senior undergraduate/beginning graduatelevel courses in probability and statistics. Readership Graduate students and research mathematicians interested in mathematical statistics. Reviews "This is a well written book and should be of great interest to advanced graduate students/researchers in mathematical statistics. The material is presented with great clarity by using simple models as opposed to complex ones. ... Overall it should be of great value to advanced graduate students and researchers in theoretical statistics. The book can be recommended for libraries on campuses with a graduate program in statistics."  Mathematical Reviews 


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