Chemometric Analysis of Multisensor Arrays.

Abstract

A discussion of multivariate calibration techniques and their possible application to sensor array data is reviewed. The progression from multiple linear regression, and principal components regression, to partial least squares can be described by the analysis of their respective algorithms and the data analysis of their respective algorithms and the data analysis problems each of them solve. Additional analysis models are introduced to detect underlying background problems for sensor arrays and the ability to quantitate analysis directly by rank annihilation factor analysis when two dimensional data is obtained. Keywords include: Multivariate Analysis, Multisensor Arrays, Partial Least Squares (PLS), Multiple Linear Regression (MLR), Principal Component Regression (PCR), Rank Annihilation Factor Analysis (RAFA).

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Document Details

Document Type
Technical Report
Publication Date
Apr 15, 1985
Accession Number
ADA153805

Entities

People

  • B. R. Kowalski
  • E. R. Sánchez
  • K. R. Beebe
  • P. Geladi
  • W. P. Carey

Organizations

  • University of Washington

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Analytical Chemistry
  • Chemistry
  • Data Analysis
  • Data Science
  • Engineering
  • Factor Analysis
  • Information Science
  • Materials
  • Materials Laboratories
  • Materials Science
  • Mathematics
  • Military Research
  • New York
  • Pattern Recognition
  • Recognition

Readers

  • Approximation Theory.
  • Regression Analysis.