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Applied Regression Analysis

Overview of attention for book
Applied Regression Analysis
Springer New York

Table of Contents

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    Book Overview
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    Chapter 1 Review of Simple Regression
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    Chapter 2 Introduction to Matrices
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    Chapter 3 Multiple Regression in Matrix Notation
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    Chapter 4 Analysis of Variance and Quadratic Forms
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    Chapter 5 Case Study: Five Independent Variables
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    Chapter 6 Geometry of Least Squares
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    Chapter 7 Model Development: Variable Selection
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    Chapter 8 Polynomial Regression
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    Chapter 9 Class Variables in Regression
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    Chapter 10 Problem Areas in Least Squares
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    Chapter 11 Regression Diagnostics
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    Chapter 12 Transformation of Variables
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    Chapter 13 Collinearity
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    Chapter 14 Case Study: Collinearity Problems
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    Chapter 15 Models Nonlinear in the Parameters
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    Chapter 16 Case Study: Response Curve Modeling
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    Chapter 17 Analysis of Unbalanced Data
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    Chapter 18 Mixed Effects Models
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    Chapter 19 Case Study: Analysis of Unbalanced Data
Attention for Chapter 13: Collinearity
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