Applying Contemporary Statistical Techniques

Applying Contemporary Statistical Techniques

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Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other booksFor the data in the previous exercise, test the hypothesis of equal means using the ANOVA F. Use Ip = .05. 3. For the data in Exercise 1, verify that Welcha#39;s test statistic is Fw = 7.7 with degrees of freedom I½1 = 2 and I½2 = 13.4. Then verify that you would reject the ... G1 G2 G3 9 16 7 10 8 6 15 13 9 6 12. 13. 14. 15. 16. 17. 18.

Title:Applying Contemporary Statistical Techniques
Author: Rand R. Wilcox
Publisher:Elsevier - 2003-01-16

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