Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

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Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables

  • 著者名:Wojtkiewicz, Roger A.
  • 価格 ¥6,117 (本体¥5,561)
  • SAGE Publications, Inc(2025/05/22発売)
  • 蝉しぐれそそぐ!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~8/3)
  • ポイント 1,375pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781071950340
  • eISBN:9781071950364

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Description

"Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field."
--Man-Kit Lei, The University of Georgia

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.

Table of Contents

Series Editor Introduction
Acknowledgments
About the Author
Chapter 1: Introduction
Main Focus of the Book
The Necessity to Provide Theoretical Justifications for Interactions
Plan of the Book
Chapter 2: Basics of Spline Variables
Derivation of Knotted Spline Model
General Equation for Knotted Spline Model
Empirical Example for Knotted Spline Model
Derivation of Group Spline Model
General Equation for Group Spline Model
Empirical Example of Group Spline Model
Conceptual Difference Between Knotted Splines and Group Splines
Summary
Chapter 3: Applications of Spline Variables
Modeling an Interval Variable With a Smaller Number of Values
Modeling an Interval Variable With a Larger Number of Values
Problem in Using Dummy Variables to Model Interval Variable
Advantages of Spline Variables Over Polynomial Variables
Interrupted Regression and Spline Variables
General Equation for Interrupted Regression Model
Empirical Example of Interrupted Regression Model
Summary
Chapter 4: Interaction Between Interval and Categorical Variables
Derivation of Model for Interval Conditioned on Categorical Interaction
General Equation for Interval Conditioned on Categorical Interaction Model
Empirical Example for Interval Conditioned on Categorical Interaction Model
Derivation of Model for Categorical Conditioned on Interval Interaction
General Equation for Categorical Conditioned on Interval Interaction Model
Empirical Example for Categorical Conditioned on Interval Interaction Model
Summary
Chapter 5: Interaction Between Interval Variables
Derivation of Model for Interval and Interval Interaction With Fewer Values
General Equation for Interval Conditioned on Interval Interaction
Empirical Example for Interval and Interval Interaction With Fewer Values
Derivation of Model for Interval and Interval Interaction With Many Values
Empirical Example for Interval and Interval Interaction With Many Values
Summary
Chapter 6: Concluding Remarks
Key Points
Final Comments
Appendix 1: Example of Derivation of Interaction Model With Interval Variable Conditioned on Categorical Variable From Dummy Variable Model
Appendix 2: Example of Derivation of Interaction Model With Interval Variable Conditioned on Interval Variable From Dummy Variable Model
References
Index

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