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 |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Boston :
Academic Press,
2012.
|
Edición: | 3rd ed. |
Colección: | Statistical modeling and decision science
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.