Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

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Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables (Quantitative Applications in the Social Sciences)

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Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

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This volume addresses the issue of linear constraints in regression modeling.Author Roger A. Wojtkiewicz uses the method of knotted spline variables (also known as piecewise linear regression) and a new method involving group spline variables to model nonlinearity in a variety of situations.Using spline variables to model nonlinearity allows researchers to specify unrestricted models for models that involve interval variables, allowing for greater flexibility in modeling any possible interaction.
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