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: Burlington : Elsevier Science, 2012.
Édition:3rd ed.
Collection:Statistical modeling and decision science.
Sujets:
Estimation theory.
Robust estimation.
Robust statistics.
Statistical hypothesis testing.
Théorie de l'estimation.
Statistiques robustes.
Tests d'hypothèses (Statistique)
Estimation theory
Robust statistics
Statistical hypothesis testing
Accès en ligne:Texto completo
Table des matières:
  • Front Cover; Introduction to Robust Estimation and Hypothesis Testing; Copyright; Table of Contents; Preface; 1 Introduction; 1.1 Problems with Assuming Normality; 1.2 Transformations; 1.3 The Influence Curve; 1.4 The Central Limit Theorem; 1.5 Is the ANOVA F Robust?; 1.6 Regression; 1.7 More Remarks; 1.8 Using the Computer: R; 1.9 Some Data Management Issues; 1.9.1 Eliminating Missing Values; 2 A Foundation for Robust Methods; 2.1 Basic Tools for Judging Robustness; 2.1.1 Qualitative Robustness; 2.1.2 Infinitesimal Robustness; 2.1.3 Quantitative Robustness.

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