Skip to main content
Article thumbnail
Location of Repository

THE ESTIMATION OF SMOOTH CURVES*

By Arthur Owen

Abstract

Smooth curves a.re often used to illustrate the relationship between two vari-ables. They are also an important building block in many recent statistical models. A procedure to estimate such a curve is called a smoother. This paper discusses currently available smoothers and introduces the class of maximum likelihood smoothers. A variety of other statistical techniques are shown to be applicable to the problem of smoothing, and some idea of the scope of models that can benefit from the use of smoothing is given

Topics: Transformations, Smoothing, Least Squares, Maximum Likeli- hood, Information, ACE, Projection Pursuit Regression, simultaneous confidence envelopes, bootstrap, non-parametric regression, smoothing splines, M-estimat- ion, Method of Moments
Year: 1984
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.448
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.iipl.fudan.edu.cn/~... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.