yield_sens()

Returns the yield as a function of a design variable

Syntax
y = yield_sens(pf_data, numBins)

Arguments

Name	Description	Range	Type	Default	Required
pf_data	binary-valued scalar data set indicating the pass/fail status of each value of a companion independent variable	[0-1]	integer		yes
numBins	number of subintervals or bins used to measure yield_sens	[1, ∞)	real	log(numOfPts)/log(2.0)	no

Examples

a = yield_sens(pf_data)
a = yield_sens(pf_data, 20)

Defined in

$HPEESOF_DIR/expressions/ael/statistical_fun.ael

See Also

cdf(), histogram(), pdf()

Notes/Equations

Used in Monte Carlo simulation.
This function measures the yield as a function of a design variable. For more information and an example refer to " Creating a Sensitivity Histogram " in the Optimization and Statistical Design documentation.
This function can only be used by entering an equation (Eqn) in the Data Display window.