Non-Parametric Function Fitting
Journal of the Royal Statistical Society Series B (Statistical Methodology)Published 1 July 1972
Mark Priestley, Min‐Te Chao
Citations466
SJR quartileQ1
SJR score3.31
SNIP2.48
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Summary In this note we consider the problem of fitting a general functional relationship between two variables. We require only that the function to be fitted is, in some sense, “smooth”, and do not assume that it has a known mathematical form involving only a finite number of unknown parameters.
Keywords
Mathematics
The Annals of Mathematical StatisticsOn Estimation of a Probability Density Function and Mode
10,504 Citations1962Emanuel Parzen
STATISTICAL ESTIMATION OF DENSITY FUNCTIONS
94 Citations2016M. S. Bartlett
