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

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Authors
  1. Thayaparan, T.
  2. Hocking, W.K.
  3. Franke, S.J.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
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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Keywords
Best-fit line;Correlation coefficient;Measurement errors;Linear regression analysis
Report Number
DREO-TM-2001-147 — Technical Memorandum
Date of publication
01 Nov 2001
Number of Pages
35
DSTKIM No
CA020860
CANDIS No
517597
Format(s):
Document Image stored on Optical Disk

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