The effect of low signal-to-noise
ratio on the ratio statistics constitutes the main theme of the paper. Finally, and in this vein, a quality metric is ...
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odds ratio.
Ratio level of measurement is the highest in statistics.
Ratio scale
Level of measurement most inferential statistics rely upon is ratio.
I think Ratio Scale is betterInterval Scale:-Permissible Statistics mean, standard deviation, correlation, regression, analysis of varianceRatio Scale:-Permissible StatisticsAll statistics permitted for interval scales plus the following: geometric mean, harmonic mean, coefficient of variation, logarithmsTo clarify:"Best" is an odd way of looking at it. As the previous answers suggest, ratio data does allow for more advanced statistics, but for the most common forms of analysis, there is little functional difference between the two.The bigger point is that researchers don't necessarily choose the level of data that they are working with. The nature of whatever they are studying determines it, and you can get into some pretty murky water when you try to force a ratio measurement in a study where it isn't really appropriate.