Spline Regression Models

Spline Regression Models
Author: Lawrence C. Marsh
Publisher: SAGE
Total Pages: 86
Release: 2001-09-14
Genre: Social Science
ISBN: 9780761924203


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Spline Regression Models shows how to use dummy variables to formulate and estimate spline regression models both in situations where the number and location of the spline knots are known in advance, and where estimation is required.


Spline Regression Models
Language: en
Pages: 86
Authors: Lawrence C. Marsh
Categories: Social Science
Type: BOOK - Published: 2001-09-14 - Publisher: SAGE

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Spline Regression Models shows how to use dummy variables to formulate and estimate spline regression models both in situations where the number and location of
Spline Regression Models
Language: en
Pages: 0
Authors: Lawrence C. Marsh
Categories: Social Science
Type: BOOK - Published: 2001-09-14 - Publisher: SAGE Publications, Incorporated

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Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this
Robust Optimization of Spline Models and Complex Regulatory Networks
Language: en
Pages: 143
Authors: Ayşe Özmen
Categories: Business & Economics
Type: BOOK - Published: 2016-05-11 - Publisher: Springer

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This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-lin
Spline Models for Observational Data
Language: en
Pages: 174
Authors: Grace Wahba
Categories: Mathematics
Type: BOOK - Published: 1990-09-01 - Publisher: SIAM

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This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of
Smoothing Spline ANOVA Models
Language: en
Pages: 446
Authors: Chong Gu
Categories: Mathematics
Type: BOOK - Published: 2013-01-26 - Publisher: Springer Science & Business Media

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Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the