An additive measurement function with two input quantities X _ 1 and X _ 2 characterized by rectangular probability distributions
2.
The items required by a measurement model to define a measurand are known as input quantities in a measurement model.
3.
A sensor's sensitivity indicates how much the sensor's output changes when the input quantity being measured changes.
4.
Since the basic year is usually changed every 5th year, the evaluation of the output and input quantities remains unchanged for five years.
5.
Some of our senses operate in a logarithmic fashion ( Weber Fechner law ), which makes logarithmic scales for these input quantities especially appropriate.
6.
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.
7.
Furthermore, a constant, AC line independent input quantity exists for the PWM inverter stage, which results in high utilization of the converter s power capability.
8.
When the input quantities X _ i contain dependencies, the above formula is augmented by terms containing covariances, which may increase or decrease u ( y ).
9.
Graphically bounding the production set for fixed input quantities, the PPF curve shows the maximum possible production level of one commodity for any given production level of the other, given the existing state of technology.
10.
Once the input quantities X _ 1, \ ldots, X _ N have been characterized by appropriate probability distributions, and the measurement model has been developed, the probability distribution for the measurand Y is fully specified in terms of this information.
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