MULTIPLE LINEAR REGRESSION ANALYSIS OF SCINTILLATION GAMMA-RAY SPECTRA: THEORETICAL AND PRACTICAL CONSIDERATIONS,

Abstract

Application of the method of multiple linear regression as a data-analysis technique for gamma-ray scintillation spectrometer data requires knowledge of (1) the response matrix of the spectrometer and (2) the covariance matrix of the unknown spectrum (or spectra). Neither matrix is known exactly. The response matrix can usually be determined with good precision and an estimate of the covariance matrix can usually be made. Perturbations or errors in either matrix, however, will introduce biases in the results. In addition, in the formulation of the method, assumptions are made and criteria are specified which may be appropriate for particular applications. Once generated, the particular formulation is frequently assumed to be generally applicable; additional biases can thereby be introduced. In the report, theoretical and practical considerations are delineated which are important to the satisfactory utilization of the multiple linear regression method. Subjective judgments which are introduced in the formulation of the method are indicated, and in view of these judgments, specific areas are described where care must be exercised, both in the acquisition of the data and in the subsequent processing. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 05, 1969
Accession Number
AD0690798

Entities

People

  • David F. Covell
  • Marilyn A. Brown
  • Sachio Yamamoto

Organizations

  • Naval Radiological Defense Laboratory

Tags

DTIC Thesaurus Topics

  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Gamma Ray Spectra
  • Gamma Rays
  • Information Processing
  • Information Science
  • Judgment
  • Linear Regression Analysis
  • Regression Analysis
  • Scintillation
  • Spectra
  • Spectrometers

Readers

  • Regression Analysis.
  • Solar Physics
  • Systems Analysis and Design