Testing for Normality - DOC by P-MarcelDekker

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This comprehensive reference/text describes the selection, design, theory, and application of tests for univariate and multivariate normality-offering plotting methods, outlier and general goodness of fit tests, and power comparisons for detection of non-normality in specialized conditions.

Contains appendices showcasing data sets, tables of parameter, and critical values for multiple examples presented in the text!

Emphasizing the most efficient and effective procedures for sample evaluation, Testing for Normality
presents tests based on sample moments
summarizes results of power studies
details regression and correlation tests
discusses tests for mixtures of normal distributions
considers censored data
outlines computational issues in assessment of normality

Compiling a valuable list of approaches for normality assessment, Testing for Normality is an in-depth resource for all statisticians, quality control engineers, data analysts, and epidemiologists, and an indispensable text for upper-level undergraduate and graduate students in these disciplines.

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									Testing for Normality
Statistics: Textbooks and Monographs Series, Book 164

Author: Henry Thode
Table of Contents

Introduction




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 Test for Normality

Testing for Normality with Censored Data




TESTING FOR MULTIVARIATE NORMALITY




Assessing Multivariate Normality

Testing for Multivariate Outliers




ADDITIONAL TOPICS




Testing for Normal Mixtures

Robust Estimation of Location and Scale

Computational Issues



Appendix A: Data Sets Used in Examples

Appendix B: Parameter and Critical Values

Appendix C: Function Optimization Computer Subroutine
Variable Metric Method
Index
Description

This comprehensive reference/text describes the selection, design, theory, and application of tests for
univariate and multivariate normality-offering plotting methods, outlier and general goodness of fit tests,
and power comparisons for detection of non-normality in specialized conditions.



Contains appendices showcasing data sets, tables of parameter, and critical values for multiple examples
presented in the text!



Emphasizing the most efficient and effective procedures for sample evaluation, Testing for Normality
presents tests based on sample moments
summarizes results of power studies
details regression and correlation tests
discusses tests for mixtures of normal distributions
considers censored data
outlines computational issues in assessment of normality

Compiling a valuable list of approaches for normality assessment, Testing for Normality is an in-depth
resource for all statisticians, quality control engineers, data analysts, and epidemiologists, and an
indispensable text for upper-level undergraduate and graduate students in these disciplines.
 disciplines.

								
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