Some Sequential Selection Procedures for Good Regression Models.

Abstract

In the past decade a number of fixed sampling methods have been developed for selecting the 'best' or at least a 'good' subset of variable in regression analysis. We are interested in deriving a sequential selection procedure to select a subset of a random size including all good regression equations. Tables for an example are given at the end of this paper. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA101921

Entities

People

  • Deng Yuang Huang
  • Tong-an Hsu

Organizations

  • Purdue University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Data Sets
  • Elimination
  • Equations
  • Information Science
  • Military Research
  • New York
  • Observation
  • Probability
  • Regression Analysis
  • Rejection
  • Sampling
  • Statistical Analysis
  • Statistics
  • United States
  • Universities

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.