Based on a PhD statistics course taught at Wayne State University, this textbook introduces asymptotic minimaxity of estimators, irregular statistical models, solutions to the change-point problem, parametric regression models, and estimation of nonparametric regression functions. The estimation of integral functionals, the influence of higher dimensions, problems of adaptive estimation, and testing of nonparametric hypotheses conclude the book. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)