A SAS/IML Companion for Linear Models

Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas beh...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Perrett, Jamis J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Statistics and Computing,
Temas:
Probabilities.
Mathematics-Data processing.
Computer software.
Statistics .
Probability Theory.
Computational Mathematics and Numerical Analysis.
Mathematical Software.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • SAS/IML: A Brief Introduction
  • IML Language Structure
  • IML Programming Features
  • Matrix Manipulations in SAS/IML
  • Mathematical and Statistical Basics
  • Linear Algebra
  • The Multivariate Normal Distribution
  • The General Linear Model
  • Linear Mixed Models
  • Statistical Computation Methods.

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