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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Perrett, Jamis J. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Σειρά:Statistics and Computing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.