An Approach to the Programming of Biased Regression Algorithms.

Abstract

Due to the near nonexistence of computer algorithms for calculating estimators and ancillary statistics that are needed for biased regression methodologies, many users of these methodologies are forced to write their own programs. Brute-force coding of such programs can result in a great waste of computer core and computing time, as well as inefficient and inaccurate computing techniques. This article proposes some guides to more efficient programming by taking advantage of mathematical similarities among several of the more popular biased regression estimators.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA062774

Entities

People

  • Richard F. Gunst

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Core Storage
  • Data Science
  • Estimators
  • Factor Analysis
  • Information Science
  • Programming Languages
  • Regression Analysis
  • Scientific Research
  • Social Sciences
  • Statistics
  • United States Government

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Parallel and Distributed Computing.
  • Regression Analysis.