Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.

Inhalt

Introduction Comparison of Two Samples The Linear Regression Model Single-Factor Experiments with Fixed and Random Effects More Restrictive Designs Multifactor Experiments Models for Categorical Response Variables Repeated Measures Model Cross-Over Design Statistical Analysis of Incomplete Data A. Matrix Algebra * B. Theoretical Proofs