7 Pages Posted: 23 Jan 2013
Date Written: January 22, 2013
In many practical statistical situations, it is desirable to restrict the flexibility of nonparametric regression models to accommodate prior information. We propose an estimator for regression models with a smoothness penalty and constraints imposed by the nature of the problem. Our estimator is easy to implement and has an explicit algebraic structure. Alternative or additional constraints can be readily applied. We present production profiles of crude oil to demonstrate possible uses of the proposed estimator.
Keywords: non-parametric regression, smoothing penalties
Suggested Citation: Suggested Citation
Voudouris, Vlasios, Estimation of Non-Parametric Regression Models: Production Profiles of Crude Oil (January 22, 2013). USAEE Working Paper No. 13-107. Available at SSRN: https://ssrn.com/abstract=2205517 or http://dx.doi.org/10.2139/ssrn.2205517