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Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.
Testing for Univariate Normality
Plots, Probability Plots and Regression Tests
Test Using Moments
Other Tests for Univariate Normality
Goodness of Fit Tests
Tests for Outliers
Power Comparisons for Univariate Tests for Normality
Testing for Normality with Censored Data
Testing for Multivariate Normality
Assessing Multivariate Normality
Testing for Multivariate Outliers
Testing for Normal Mixtures
Robust Estimation of Location and Scale
Computational Issues