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 large-sample 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 graduate-level
courses in probability and statistics.
General
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