Regression Models, Methods and Applications /

The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown th...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Fahrmeir, Ludwig (Autor), Kneib, Thomas (Autor), Lang, Stefan (Autor), Marx, Brian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Statistics .
Econometrics.
Biometry.
Epidemiology.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistical Theory and Methods.
Biostatistics.
Statistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Regression Models
  • The Classical Linear Model
  • Extensions of the Classical Linear Model
  • Generalized Linear Models
  • Categorical Regression Models
  • Mixed Models
  • Nonparametric Regression
  • Structured Additive Regression
  • Quantile Regression
  • A Matrix Algebra
  • B Probability Calculus and Statistical Inference
  • Bibliography
  • Index.

Ejemplares similares