A Monte Carlo Comparison of Some Ridge and Other Biased Estimators.

Abstract

A comparative study of the performance of 8 ridge estimators, 5 other biased estimators, and the Ordinary Least Squares estimate is made through a Monte Carlo experiment. Th control parameters used in the simulation study are: A measure of the degree of multicollinearity in x, the number of independent variables, the variance of the error term (for unit length parameter vector beta, and the most favorable and the least favorable choices of beta (as defined by McDonald and Galarneau). 100 replications are run on each combination of 6 x 3 x 5 x 2 factorial design, using sample sizes of n = 100. The empirical mean squared error as well as some other properties of the sampling distributions of the squared loss (beta-bar - beta) ' (beta-bar - beta) are reported for the estimators considered. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA069566

Entities

People

  • Amitava Mitra
  • Robert F. Ling

Organizations

  • Clemson University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Coefficients
  • Computer Programs
  • Eigenvalues
  • Estimators
  • Factorial Design
  • Military Research
  • New Jersey
  • New York
  • Normal Distribution
  • Random Number Generators
  • Regression Analysis
  • Simulations
  • South Carolina
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.