Introduction to Robust Estimation and Hypothesis Testing.
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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Burlington :
Elsevier Science,
2012.
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Edición: | 3rd ed. |
Colección: | Statistical modeling and decision science.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.