The variance in that distribution reflects the degree of subjective uncertainty (or lack of knowledge) in the input quantity.

That makes logarithmic scales for these input quantities especially appropriate.

The input quantity, that aspect of the stimulus which the subject perceives and has been demonstrated to be controlling.

The items required by a measurement model to define a measurand are known as input quantities in a measurement model.

The true values of the input quantities are unknown.

Sensitivity coefficients describe how the estimate of would be influenced by small changes in the estimates of the input quantities .

The relative magnitudes of the terms are useful in assessing the respective contributions from the input quantities to the standard uncertainty associated with .

When the input quantities contain dependencies, the above formula is augmented by terms containing covariances, which may increase or decrease .

Some of our senses operate in a logarithmic fashion (Weber-Fechner law), which makes logarithmic scales for these input quantities especially appropriate.

The coefficients that bound the inequalities in the primal space are used to compute the objective in the dual space, input quantities in this example.