Applied Regression Analysis: A Research Tool
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Abstract
Review of Simple Regression.- Introduction 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.- Appendix Tables.- References.- Author Index.- Subject Index.