Patent Document ID: 9069725
Application ID: 13213780
Patent Flag: 1

Claim One:
1. A computer-implemented method comprising the step of: reducing outlier bias, wherein reducing outlier bias comprises the steps of: selecting a bias criteria used to determine one or more outliers; providing a complete data set, wherein the complete data set comprises all actual values collected for at least one variable; providing a set of model coefficients associated with a mathematical model; (1) generating, by a processor, a set of predicted values for the complete data set based on applying the mathematical model to the complete data set; (2) generating, by the processor, an error set by comparing the set of predicted values to corresponding actual values of the complete data set; (3) generating, by the processor, a set of error threshold values based on the error set and the bias criteria; (4) generating, by the processor, a removed data set comprising elements of the complete data set with corresponding error set values outside the set of error threshold values; (5) generating, by the processor, a censored data set comprising all elements of the complete data set that are not within the removed data set; (6) generating by the processor, a set of updated model coefficients associated with the mathematical model based on the censored data set; and (7) repeating steps (1)-(6) as an iteration unless a censoring performance termination criteria is satisfied, whereby at the iteration the set of predicted values, the error set, the set of error threshold values, the removed data set, and the censored data set are generated using the set of updated model coefficients.