Functional Data Analysis with R and MATLAB

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complem...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ramsay, James (Autor), Hooker, Giles (Autor), Graves, Spencer (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Use R!,
Temas:
Mathematical statistics-Data processing.
Data mining.
Marketing.
Biometry.
Psychometrics.
Public health.
Statistics and Computing.
Data Mining and Knowledge Discovery.
Biostatistics.
Public Health.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Functional Data Analysis
  • Essential Comparisons of the Matlab and R Languages
  • How to Specify Basis Systems for Building Functions
  • How to Build Functional Data Objects
  • Smoothing: Computing Curves from Noisy Data
  • Descriptions of Functional Data
  • Exploring Variation: Functional Principal and Canonical Components Analysis
  • Registration: Aligning Features for Samples of Curves
  • Functional Linear Models for Scalar Responses
  • Linear Models for Functional Responses
  • Functional Models and Dynamics.

Ejemplares similares