Spline Methods in Statistics,

Abstract

Spline functions are particularly appropriate in fitting a smooth non-parametric model. The use of spline functions in non-parametric density estimation and spectral estimation is surveyed. The requisite spline theory background is also included. Isotonic splines offer great promise in filtering noise from a smooth model with an order structure. Some results on the existence and several applications of general isotonic splines are given in the final section. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1977
Accession Number
ADA049197

Entities

People

  • Ian W. Wright

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Computations
  • Convex Sets
  • Curve Fitting
  • Data Analysis
  • Distribution Functions
  • Equations
  • Estimators
  • Maximum Likelihood Estimation
  • Numbers
  • Probability
  • Random Variables
  • Statistics
  • Stochastic Processes
  • Theorems
  • Topology

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Theoretical Analysis.