336 Pages
by
Chapman & Hall
336 Pages
by
Chapman & Hall
Also available as eBook on:
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 methods; and the James-Stein estimator. This... Read more
One Sample
Normal Theory
Nonnormality
Effect
Dependence
Exercises
Two Samples
Normal Theory
Nonnormality
Unequal Variances
Dependence
Exercises
One-Way Classification
Fixed Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Random Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Exercises
Two-Way Classification
Fixed Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Mixed Effects
Normal Theory
Departures from assumptions
Random Effects
Normal Theory
Departures from Assumptions
Exercises
Regression
Regression Model
Normal Linear Model
Nonlinearity
Nonnormality
Unequal Variances
Dependence
Errors-in-Variables Model
Normal Theory
Departures from Assumptions
Exercises
Ratios
Normal Theory
Departures from Assumptions
Exercises
Variances
Normal Theory
Nonnormality
Dependence
Exercises
Normal Theory
Nonnormality
Effect
Dependence
Exercises
Two Samples
Normal Theory
Nonnormality
Unequal Variances
Dependence
Exercises
One-Way Classification
Fixed Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Random Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Exercises
Two-Way Classification
Fixed Effects
Normal Theory
Nonnormality
Unequal Variances
Dependence
Mixed Effects
Normal Theory
Departures from assumptions
Random Effects
Normal Theory
Departures from Assumptions
Exercises
Regression
Regression Model
Normal Linear Model
Nonlinearity
Nonnormality
Unequal Variances
Dependence
Errors-in-Variables Model
Normal Theory
Departures from Assumptions
Exercises
Ratios
Normal Theory
Departures from Assumptions
Exercises
Variances
Normal Theory
Nonnormality
Dependence
Exercises
Biography
Rupert G. Miller Jr., University of Stanford, California, USA.
