25,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
13 °P sammeln
Andere Kunden interessierten sich auch für
![Testing Normality In Linear Statistical Models]( "Testing Normality In Linear Statistical Models")
Testing Normality In Linear Statistical Models42,99 €![An Introduction to Nonparametric Methods - Second Edition]( "An Introduction to Nonparametric Methods - Second Edition")
An Introduction to Nonparametric Methods - Second Edition65,99 €![Asymmetric distributions and Information Theory]( "Asymmetric distributions and Information Theory")
Asymmetric distributions and Information Theory47,99 €![Testing For Normality]( "Testing For Normality")
Testing For Normality357,99 €![Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions]( "Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions")
Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions31,99 €![An Introduction to Generalized Linear Models]( "An Introduction to Generalized Linear Models")
An Introduction to Generalized Linear Models264,99 €![Permutation Methods]( "Permutation Methods")
Permutation Methods77,99 €
Checking the normality assumption in statistical procedures, particularly parametric tests, is very important as the validity of the conclusions drawn from such techniques depend to a large extent on the validity of this assumption among others. A number of methods have been proposed for assessing the validity of this assumption in statistical procedures. This book addresses the performance of eighteen of the available tests for different sample sizes, significance levels, and for a number of symmetric and asymmetric distributions through the conduct of Monte-Carlo simulation.