Improving the Reliability of Factor Analysis of Chemical Data by Utilizing the Measured Analytical Uncertainty.

Abstract

A procedure for including measured analytical uncertainty into data analysis methodology is discussed. The suitability of various dispersion matrices and matrix rank determination criteria for data having analytical uncertainty is investigated. A criterion useful for judging the number of factors insensitive to analytical uncertainty is presented. A model data structure for investigating the behavior of factor analysis techniques is described and analyzed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1976
Accession Number
ADA025951

Entities

People

  • B. R. Kowalski
  • D. L. Duewer
  • J. L. Fasching

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Computational Processes
  • Computing-Related Activities
  • Data Analysis
  • Data Mining
  • Data Science
  • Dispersions
  • Factor Analysis
  • Information Science
  • Reliability
  • Uncertainty

Readers

  • Computational Modeling and Simulation