Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1089-1098 |
| Number of pages | 10 |
| Journal | Advances in Space Research |
| Volume | 27 |
| Issue number | 6-7 |
| DOIs | |
| State | Published - 2001 |
ASJC Scopus subject areas
- Aerospace Engineering
- Astronomy and Astrophysics
- Geophysics
- Atmospheric Science
- Space and Planetary Science
- General Earth and Planetary Sciences