The Method of Sieves. A Survey of Recent Applications.

Abstract

The method of sieves is a technique of nonparametric estimation in which estimators are restricted by an increasing sequence of subsets of the parameter space with the subsets indexed by the sample size. The need for this technique arises in situations where the parameter space is too large for the existence or consistency of unconstrained maximum likelihood or least squares estimators. Grenander (10) developed the abstract theory of the method of sieves and provided a wealth of examples illustrating its use. This article is to appear under the entry SIEVES, METHOD OF in the Encylopedia of Statistical Sciences.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA164087

Entities

People

  • Ian W. Mckeague

Organizations

  • Florida State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Classification
  • Data Science
  • Estimators
  • Gaussian Processes
  • Information Science
  • Military Research
  • Models
  • Probability
  • Security
  • Sequences
  • Stationary Processes
  • Statistics
  • Surveys
  • Transfer Functions
  • Universities

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects