Retail forecasting using parameter estimation
A parameter estimation and user-friendly technology, applied in computing, data processing applications, complex mathematical operations, etc., can solve problems such as damage to isolated points in data, not "robust"
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[0007] One embodiment is a computer system for retail modeling and forecasting using parameter estimates. The system stores the input data in a dense matrix format such as an array of floats, creates additional temporary arrays to represent the appropriate dual formulation, and uses the modified dual simplex method to solve the resulting specially structured dual linear program to obtain the binned variable to achieve the desired optimization level. The results are parameter values for retail modeling and forecasting.
[0008] Parameter estimation methods can be used for retail sales forecasting. For example, the method can be used to determine the price elasticity of demand for a consumer product, such as how much sales would increase if the price of shirts were reduced by 20%. Some known parameter estimation methods, such as linear regression, also known as "Least Squares" ("OLS"), as described above, are susceptible to outliers in the data. Other known methods include "...
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