ABSTRACT

Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap

chapter 1|39 pages

ONE SAMPLE

chapter 2|27 pages

TWO SAMPLES

chapter 3|50 pages

ONE-WAY CLASSIFICATION

chapter 4|47 pages

TWO-WAY CLASSIFICATION

chapter 5|77 pages

REGRESSION

chapter 6|18 pages

RATIOS

chapter 7|20 pages

VARIANCES