Rupert G. Miller Jr.

Beyond ANOVA (eBook, ePUB)

Basics of Applied Statistics

• Format: ePub

Produktbeschreibung

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. Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by anyone who may wish to handle his or her own data analysis.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 1. Januar 1997
• Englisch
• ISBN-13: 9781040211410
• Artikelnr.: 73302823

Autorenporträt

Rupert G. Miller Jr., University of Stanford, California, USA.

Inhaltsangabe

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