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From the Help Desk: Local Polynomial Regression and Stata Plugins
- Source :
- The Stata Journal: Promoting communications on statistics and Stata. 3:412-419
- Publication Year :
- 2003
- Publisher :
- SAGE Publications, 2003.
-
Abstract
- Local polynomial regression is a generalization of local mean smoothing as described by Nadaraya (1964)andWat s on (1964). Instead of fitting a local mean, one instead fits a local pth-order polynomial. Calculations for local polynomial regression are naturally more complex than those for local means, but local polynomial smooths have better statistical properties. The computational complexity may, however, be alleviated by using a Stata plugin. In this article, we describe the locpoly command for performing local polynomial regression. The calculations involved are implemented in both ado-code and with a plugin, allowing the user to assess the speed improvement obtained from using the plugin. Source code for the plugin is also provided as part of the package for this program. Copyright 2003 by StataCorp LP.
- Subjects :
- Polynomial regression
Mathematical optimization
Polynomial
Source code
Generalization
media_common.quotation_subject
05 social sciences
computer.software_genre
01 natural sciences
Regression
010104 statistics & probability
local polynomial, local linear, smoothing, kernel, plugin
Mathematics (miscellaneous)
Kernel (statistics)
0502 economics and business
Plug-in
0101 mathematics
computer
Algorithm
Smoothing
050205 econometrics
media_common
Mathematics
Subjects
Details
- ISSN :
- 15368734 and 1536867X
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- The Stata Journal: Promoting communications on statistics and Stata
- Accession number :
- edsair.doi.dedup.....cbe533c3df59870c1e5e546307aa667d
- Full Text :
- https://doi.org/10.1177/1536867x0400300409