Efficient design process for the allocation of variability...

Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement

Reexamination Certificate

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Reexamination Certificate

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07636647

ABSTRACT:
A method for implementing a point estimation method (PEM) that predicts variability of a system output response based on variabilities of inputs includes building a customized designed experiment such that each input variable x for the designed experiment is assigned a number of variable values n based on the respective input variable's contribution p to overall response variability.

REFERENCES:
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patent: 2005/0004833 (2005-01-01), McRae et al.
patent: 2007/0038413 (2007-02-01), Mehta et al.
Chaloner et al., “Bayesian Experimental Design: A Review”, Statistical Science, 1995, vol. 10, No. 3, pp. 273-304.
Satish D. Kini, “An Approach to Integrating Numerical and Response Surface Models for Robust Design of Production Systems”, Dissertation, The Ohio State University, 2004.
Packianather et al., “Optimizing the Parameters of Multilayered Feedforward Nueral Networks Through Taguchi Design of Experiments”, Quality and Reliability Engineering International, 2000, pp. 461-473.
U.S. Appl. No. 11/530,491, filed Sep. 9, 2006, Alderman et al.

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