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Spline Regression Models: Quantitative Applications in the Social Sciences, cartea 137

Autor Lawrence C. Marsh, David R. Cormier
en Limba Engleză Paperback – 4 dec 2001
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.
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Specificații

ISBN-13: 9780761924203
ISBN-10: 0761924205
Pagini: 80
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.1 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

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

Cuprins

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

Notă biografică


Descriere

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.