Applied Regression Analysis A Research Tool /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Rawlings, John O. (Editor), Pantula, Sastry G. (Editor), Dickey, David A. (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 1998.
• Edition: Second Edition.
• Series: Springer Texts in Statistics,
• Subjects: Mathematics.; Applied mathematics.; Engineering mathematics.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Applications of Mathematics.; Statistical Theory and Methods.

Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts t...

Table of Contents:

• Review of Simple Regression
• to Matrices
• Multiple Regression in Matrix Notation
• Analysis of Variance and Quadratic Forms
• Case Study: Five Independent Variables
• Geometry of Least Squares
• Model Development: Variable Selection
• Polynomial Regression
• Class Variables in Regression
• Problem Areas in Least Squares
• Regression Diagnostics
• Transformation of Variables
• Collinearity
• Case Study: Collinearity Problems
• Models Nonlinear in the Parameters
• Case Study: Response Curve Modeling
• Analysis of Unbalanced Data
• Mixed Effects Models
• Case Study: Analysis of Unbalanced Data.