Spline Regression Models

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Lawrence C. Marsh - University of Notre Dame, USA
David R. Cormier - Indiana University, Kokomo, USA

Volume: 137

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research | Regression & Correlation

September 2001 | 80 pages | SAGE Publications, Inc

Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines.

1. General Introduction

2. Introduction to Spline Models

3. Splines with Known Knot Locations

4. Splines with Unknown Knot Locations

5. Splines with an Unknown Number of Knots

6. Summary and Conclusions

"I would recommend this book as a nice and easy-to-read introduction to spline models."

Kwantitatieve Methoden

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Lawrence C. Marsh

Lawrence C. Marsh is a professor emeritus in economics at the University of Notre Dame, where he taught statistics and graduate econometrics for 30 years, and served as visiting professor in psychology at Avila University in Kansas City, MO, where he taught statistics and research methods. He also taught applied regression analysis in the MBA program at the University of Chicago’s Booth School of Business in 2010. He served as director of Notre Dame’s PhD program in economics for 13 years and has served on over 80 PhD dissertation committees. He served as statistical design strategist and head of analytics for Internet company Adknowledge.... More About Author

David R. Cormier

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