Testing for Normality

This book addresses normal mixture distributions, robust estimation and computational issues of testing for univariate normality in complete samples and censored samples and for multivariate normality.

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.

Autorentext

Thode, Henry C.

Inhalt

1. Introduction Part 1: Testing for Univariate Normality 2. Plots, Probability Plots and Regression Tests 3. Test Using Moments 4. Other Tests for Univariate Normality 5. Goodness of Fit Tests 6. Tests for Outliers 7. Power Comparisons for Univariate Tests for Normality 8. Testing for Normality with Censored Data Part 2: Testing for Multivariate Normality 9. Assessing Multivariate Normality 10. Testing for Multivariate Outliers Part 3: Additional Topics 11. Testing for Normal Mixtures 12. Robust Estimation of Location and Scale 13. Computational Issues