Method for statistical comparison of geophysical data by multiple instruments which have differing accuracies Original Research Article

A novel correlative technique is introduced for intercomparison 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 which 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 algorithm determines and graphs the interrelationship between the errors in each method and the slope of the line of best fit, assuming Gaussian statistics.