Modeling nonlinearity and interaction in regression analysis using spline variables / Roger A. Wojtkiewicz.

Format:

Book

Author/Creator:

Wojtkiewicz, Roger A., author.

Series:

Quantitative applications in the social sciences ; no. 07-196.

Quantitative applications in the social sciences ; 196

Language:

English

Subjects (All):

Regression analysis.

Physical Description:

xxi, 165 pages : illustrations ; 22 cm.

Place of Publication:

Thousand Oaks, California : Sage, [2026]

Summary:

"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." -- publisher's website.

Contents:

Introduction

Basics of spline variables

Applications of spline variables

Interaction between interval and categorical variables

Interaction between interval variables

Concluding remarks

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.

Notes:

Includes bibliographical references (pages 159-160) and index.

Other Format:

ebook version :

ISBN:

1071950347

9781071950340

OCLC:

1499529589

Publisher Number:

CIPO000205695