Introduction to Mathematical Statistics

"Introduction to mathematical statistics ... enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text's flexible organization makes it ideal for a range of mathematical statistics courses. ... New to this edition: many additional real data sets to illustrate statistical methods or compare methods; expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms; expanded discussion of iterated integrals, with added figures to clarify discussion; several important topics have been added, including a subsection on the bivariate normal distribution, Tukey's multiple comparison procedure and confidence intervals for the correlation coefficients; discussion on standard errors for estimates obtained by bootstrapping the sample is now included."--Back cover.