Books  Data Analysis & Modelling  Data Analysis & Statistics 

Beyond ANOVA: Basics of Applied Statistics

Out of Print

Series: Chapman & Hall/CRC Texts in Statistical Science

By: Rupert G (Jr) Miller

317 pages, Figs

Chapman & Hall

Hardback | Dec 1997 | #66239 | ISBN: 0412070111
Out of Print Details

About this book

Promotes the use of the most straightforward data analysis methods, rather than resorting to complicated and unnecessary tests.


One SampleNormal TheoryNonnormalityEffectDependenceExercisesTwo SamplesNormal TheoryNonnormalityUnequal VariancesDependenceExercisesOne-Way ClassificationFixed EffectsNormal TheoryNonnormalityUnequal VariancesDependenceRandom EffectsNormal TheoryNonnormalityUnequal VariancesDependenceExercisesTwo-Way ClassificationFixed EffectsNormal TheoryNonnormalityUnequal VariancesDependenceMixed EffectsNormal TheoryDepartures from assumptionsRandom EffectsNormal TheoryDepartures from AssumptionsExercisesRegressionRegression ModelNormal Linear ModelNonlinearityNonnormalityUnequal VariancesDependenceErrors-in-Variables ModelNormal TheoryDepartures from AssumptionsExercisesRatiosNormal TheoryDepartures from AssumptionsExercisesVariancesNormal TheoryNonnormalityDependenceExercises

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