Smoothing of Scatterplots

Abstract

A variable span scatterplot smoother based on local linear fits is described. Local cross-validation is used to estimate the optimal span as a function of abscissa value. A rejection rule is suggested to make the smoother resistant against outliers. Computationally efficient algorithms making use of updating formulas and corresponding FORTRAN subroutines are presented.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA119814

Entities

People

  • Jerome H. Friedman
  • Werner Stuetzle

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Anomaly Detection
  • Boundaries
  • California
  • Change Detection
  • Computations
  • Computer Programming
  • Computer Science
  • Data Sets
  • Estimators
  • Linear Accelerators
  • Probability
  • Procedures (Computers)
  • Rejection
  • Sequences
  • Statistics
  • Validation

Readers

  • Computer Science.
  • Statistical inference.