On the Degree of Inflation of Measures of Fit Induced by Empirical Model Building.

Abstract

This dissertation explores the distributional properties of commonly used statistics developed in the course of empirical model building. A review of some of the more noteworthy efforts to investigate the distribution of the coefficient of determination of determination, R-squared, in the best subset regression is given. To overcome the shortcomings of these results, a permutation test based on Fisher's randomization test is developed to provide a practical basis for assessing the statistical significance of a regression in such situations. An investigation is made into the distributional properties of the multiple correlation coefficient in the choice of a transformation of the dependent variable. The study investigates the possibility that pedestrian use of transformations, such as y* = (y+c) to the p, may lead to an inflationary effect on the sample correlation. A practical management science application of the statistical procedures developed in this study is explored in the area of parametric cost estimation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1980
Accession Number
ADA097536

Entities

People

  • K. T. Wallenius
  • T. B. Edwards

Organizations

  • Clemson University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Cost Estimates
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Information Science
  • Knowledge Management
  • Normal Distribution
  • Permutations
  • Random Variables
  • Regression Analysis
  • Simulations
  • Statistical Samples
  • Statistical Tests
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Economics
  • Regression Analysis.