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Analysis Step 3—Perform Deterministic Computations

A Latin Hypercube sampling method was used in the Risk simulation to generate the input parameter values from the probability distribution functions. This method was chosen over the Monte Carlo technique, which samples randomly from the distribution function and causes clustering when low probability values are not sampled due to insufficient computational sampUng iterations. In contrast, the Latin Hypercube stratified sampling technique systematically samples all segments (stratifications) of the distribution just once, resulting in fewer computational iterations required to produce a representative probability curve. [Pg.32]

FIGURE 2.1 Response of delivered feedstock cost to changes in model input logistics parameters. [Pg.33]

FIGURE 2.2 Illustrated definitions of sensitivity, influence, and uncertainty. [Pg.33]


See other pages where Analysis Step 3—Perform Deterministic Computations is mentioned: [Pg.29]    [Pg.32]    [Pg.29]    [Pg.32]    [Pg.333]    [Pg.604]    [Pg.522]   


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