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          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. 
        
                 
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