1. A method for modeling of original insurance data in an insurance industry, the method comprising: deriving regression functions for computing mean and dispersion values of the original insurance data; concurrently estimating, based on the derived regression functions, the mean value and the dispersion value of the original insurance data, wherein the deriving the regression functions and the concurrently estimating obviate any pre-processing of the original insurance data, wherein a processor coupled to a memory device performs said deriving and said concurrently estimating.