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The Relationship between Least Square and Linear Programming

Author Affiliations

  • 1Faculty of Administration and Economic, Babylon University, Babylon city, IRAQ

Res. J. Mathematical & Statistical Sci., Volume 1, Issue (2), Pages 16-18, March,12 (2013)

Abstract

The predication is an important tool for planning where the aim of any statistician is to predicate the values of dependent variable which minimize the errors (the different between actual and predicated value). The least square method is classical method which is used to achieve this purpose. The predication by using least square method depends on minimizing the sum square of error. This paper introduces the restrictions of least square method, while the predication by using linear programming method depends on the assumation of minimizing the sum of absolute errors.

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