Patent Document ID: 8010309
Application ID: 12914866
Patent Flag: 1

Claim One:
1. A method for developing a calibration model for use in a central processor configured to generate a predicted value of a property of interest based on an input from one or more data acquisition instruments, comprising: obtaining a set of samples having the property of interest; generating a first set of data by measuring the property of interest in the samples; generating a mathematical model of the property of interest using the first set of data; generating predicted values for the property of interest using the mathematical model; determining whether the predicted values for the property of interest correlate with the measured values of the property of interest to within a predetermined criterion; identifying the type and range of a secondary variable that is potentially influential of the measurement of the property of interest; determining whether the secondary variable is actually influential of the measurement of the property of interest; adjusting the preliminary model to compensate for the secondary variable and/or identifying an appropriate method of treating responses of the one or more data acquisition instruments to compensate for the secondary variable; determining whether predicted values of the property of interest generated by the adjusted mathematical model and/or using the treatment method correlate with the measured values within another predetermined criterion when the secondary variable is varied; generating a second set of data by measuring the property of interest in the samples using the treatment method; generating a prediction of the property of interest using the second set of data and the revised property model; determining whether a probable outlier is present in the prediction of the property of interest; generating a third set of data using the pretreatment method while varying the influential factor; generating a prediction of the property of interest using the revised property model and the third set of data; and determining whether a probable outlier is present in the prediction of the property of interest generated using the revised property model.