Synopses & Reviews
This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.
"This two-volume text is designed for a two-semester course in mathematical statistics at the senior/graduate level... The authors have succeeded in presenting the material with clarity and enough details of analytical niceties." (Mathematical Reviews)
Table of Contents
Sampling and Distributions.- Statistical Estimation.- Testing Hypotheses.- Special Topics.- Tables.- References.- Index.