Introduction to robust estimation and hypothesis testing /

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This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Wilcox, Rand R.
Format: Électronique eBook
Langue:Inglés
Publié: Amsterdam ; Boston : Academic Press, 2012.
Édition:3rd ed.
Collection:Statistical modeling and decision science
Sujets:
Estimation theory.
Robust statistics.
Statistical hypothesis testing.
Th�eorie de l'estimation.
Statistiques robustes.
Tests d'hypoth�eses (Statistique)
MATHEMATICS > Probability & Statistics > General.
Estimation theory
Robust statistics
Statistical hypothesis testing
Robuuste statistiek.
Schattingstheorie.
Hypothesetoetsing.
Accès en ligne:Texto completo
Table des matières:
  • Preface
  • 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.

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