Multivariate Parameter
Worksheet Features
The Multivariate Parameter Worksheet provides a
powerful and versatile tool for conducting a measurement uncertainty
analysis for a parameter or quantity that is
indirectly determined from other measured variables or quantities. The Parameter
Value Equation can contain up to 25 root variables or quantities and an
unlimited number of nested variables. All equations are entered in the extremely versatile and non-proprietary VB
Script format, which allows for the development of complex
equations, the inclusion of nested functions, and other programmable
controls. Despite this powerful capability, entering parameter value equations can be as
simple as entering equations into any spreadsheet application.
Parameter
Value Equation
The
mathematical equation that describes the value of interest is entered
in the Parameter Value Equation field. The parameter value
equation can contain numbers, constants, root variables, nested
variables, functions, and mathematical operators. Nested variables
are defined by separate equations and are entered after the parameter
value equation. All
equations are entered in the extremely versatile and non-proprietary VB
Script format.
Sensitivity
Coefficients
The sensitivity coefficient of a
given root variable is the partial derivative of the parameter value
equation with respect to the root variable. Uncertainty Sidekick
Pro automatically computes the partial derivatives.
Root
Variables Data Table
After
the user defined error equation and any associated nested variables
equations have been entered into the Parameter Value Equation field,
uncertainties in the root variable errors must be estimated. This
can be done by entering the requisite data for each root variable
directly into the Root Variables Data table or by using the
Error
Source Worksheet, which is activated by clicking the gray button to
the left of the variable name. Up to 25 individual error sources can be listed
in the Root Variables table.
Computed
Parameter Value
The
bottom portion of the Worksheet displays the Computed Parameter Value,
which Uncertainty Sidekick Pro calculates from user specified adjusted mean
values for the root variables. The adjusted mean values are
incorporated into the user defined error equation and any associated
nested variable equations to obtain the mean value for the user defined
error.
Combined
Uncertainty and Degrees of Freedom
The
bottom portion of the Worksheet also displays the total uncertainty due
to the user defined error. The uncertainties resulting from the
root variables are combined in a root-sum-square (RSS) manner if none of
the errors are correlated. However, in some instances, root
variable errors may be correlated. If so, the value of the
Combined Uncertainty will reflect any correlations between root variable
errors specified in the
Correlation
Coefficients Worksheet. The associated Degrees
of Freedom for the Combined Uncertainty is computed using the Welch-Satterthwaite
formula.
Relevant
information can be entered into the Root Variables Data table.
Alternatively, drill-down
Error Source Worksheets can be used to develop Type A,
Type B and Type A,B uncertainty estimates for each root variable.
Sensitivity coefficients are automatically computed for root variables or
sensitivity coefficient equations can be entered for these variables. The
sensitivity coefficient is a weighting factor multiplier for the standard
uncertainty of the root variable error. The
product of the sensitivity coefficient and the standard uncertainty of a root
variable error is the component uncertainty that
reflects the contribution of the uncertainty in the root variable error to the
overall uncertainty in the multivariate parameter value.
|