A Novel Method for Statistical Comparison of Geophysical Data by Multiple Instruments which have Differing Accuracies

Abstract

A novel correlative technique is introduced for comparison of measurements of similar quantities made using different techniques. This process involves a generalized least-squares fitting method which can be used to estimate the slope of the best-fitting straight line that results when two separate data sets that are expected to be linearly correlated are compared via scatter-plots. The different data types may be subject to different uncertainties in their measurements. The technique determines and graphs the relationship between the errors in each method and the slope of the line of best fit, assuming Gaussian statistics. We hope that this new technique will find application in a wide range of situations, e.g., ranging from radar and satellite measurements to any physical measurements. The technique can also be used to calibrate multi-sensor, radar and satellite, systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA403436

Entities

People

  • S. J. Franke
  • T. Thayaparan
  • W. K. Hocking

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Satellites
  • Classification
  • Coefficients
  • Correlation Techniques
  • Data Mining
  • Data Science
  • Data Sets
  • Errors
  • Estimators
  • Information Science
  • National Security
  • Regression Analysis
  • Security
  • Standards
  • Statistics

Fields of Study

  • Environmental science

Readers

  • Astronomy and Astrophysics.
  • Computational Modeling and Simulation
  • Statistical inference.

Technology Areas

  • Space