Introduction to Robust Estimation and Hypothesis Testing (5th Ed.)
Auteur : Wilcox Rand R.
1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests of Independence 10. Robust Regression 11. More Regression Methods 12. ANCOVA
- Includes the latest developments in robust regression
- Provides many new, improved and accessible R functions
- Offers comprehensive coverage of ANOVA and ANCOVA methods
Date de parution : 02-2022
Ouvrage de 928 p.
19x23.4 cm
Thème d’Introduction to Robust Estimation and Hypothesis Testing :
Mots-clés :
R, Functions in R, ANOVA, ANCOVA, Regression, Multivariate methods, Outlier detection techniques, Dealing with heteroscedasticity, Inferences based on quantiles, Rank-based methods, Robust effect size, Robust logistic regression, Smoothers, Comparing measures of variation, Robust principal components, Robust measures of association, Comparing correlations, Multiple comparisons