Applied Nonparametric Regression

Klappentext 'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds. Zusammenfassung Applied Nonparametric Regression is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. Inhaltsverzeichnis Preface; Part I. Regression Smoothing: 1. Introduction; 2. Basic idea of smoothing 3. Smoothing techniques; Part II. The Kernel Method: 4. How close is the smooth to the true curve?; 5. Choosing the smoothing parameter; 6. Data sets with outliers; 7. Smoothing with correlated data; 8. Looking for special features (qualitative smoothing); 9. Incorporating parametric components and alternatives; Part III. Smoothing in High Dimensions: 10. Investigating multiple regression by additive models; Appendices; References; List of symbols and notation.

Dettagli sul prodotto

• Autori: Wolfgang H. Rdle, Wolfgang H¿le, Wolfgang Hardle, Hardle Wolfgang
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.01.1992
• EAN: 9780521429504
• ISBN: 978-0-521-42950-4
• Pagine: 352
• Serie: Econometric Society Monographs; Esm
• Categoria: Scienze sociali, diritto, economia > Economia > Economia politica