Study of production and marketing dates in Iraq Using the lower squares method And linear scripting

Abstract

In this research we got with using One of the manners LinearProgramming which is called the Simplex Method for parameters estimation toLinear Regression Model, through the way of choosing the objective functionwhich works on minimization to the lower bound for the summation of errorswhich came from parameters estimation by Ordinary Least Square Method,therefore it will be done in the Simplex Method by assuming constraints on thesame errors in objectives of minimizing it to least what could be to obtain thebest estimation for parameters of Linear Regression Model .عبٍؼخ ثغذاد/ميٞخ اىضساػخ / ٗحذح اىحبعجبد .عبٍؼخ ثغذاد / شؼجخ اىؼق٘د اىحنٍ٘ٞخ . ٍقج٘ه ىيْهش ثزبسٝخ 03/11/13112012 The magazine of Economics & Administration(322) Basically the Ordinary Least Square Method is and attempt to estimate theparameters of Linear Regression Model by the way of minimizing the sum ofsquares for errors to least what could be for obtaining the best estimation to theseparameters . By using of an empirical simulation approach to generate data that willbe assumed from Linear Regression Model and for (100) samples, thecomparison was done between the results for parameters estimation by method ofOrdinary Least Square and the results of the Simplex Method to minimizingthe sum of errors by putting constraints on these errors. Moreover in our research we can conclude that the usage of the SimplexMethod can be shown the best results for parameters estimating of LinearRegression Model from using Ordinary Least Square Method, within differentcases which has been shown in simulation part. This research includes on the subject of timing trends analyzing by usingthe Simplex Method for production and export of dates in Iraq because this cropis very important in economical studies as results of the important relationshipwith the food security issue.