Beyond Anova: Basics of Applied Statistics

ISBN-13: 9780412070112 / Angielski / Twarda / 1997 / 336 str.

Jr. Rupert G. Miller; Miller Jr. Miller; R. G. Miller

Opis

This is a reissue of the book by statistician R.G. Miller. The text has proved useful in understanding the level of the subject of applied statistics and includes numerous exericises.

Spis treści

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

O autorze

Rupert G. Miller Jr.