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Comparison between estimates of parameters of multiple linear regression model using the OLS method and the method of linear programming goals | ||
| Journal of Administration and Economics | ||
| Article 1, Volume 0, Issue 77, 2018, Pages 200-213 | ||
| Author | ||
| M. Safa Karim Kadhim | ||
| Abstract | ||
| This paper involve two methods to estimated parameters of linear multiple regression model, one of that methods is least square OLS, which have (Blue) property and other method it Goal programming method, which it method one of important techniques in Operation Research in decision make. we can appointment this technique dependent on idea of random error i in linear multiple regression model which it present deviation between estimation value and real value for model and positive and negative deviation variables in linear Goal programming technique. We formulated the equations of linear multiple regression model as restrictions to linear Goal programming technique and assumption of the parameters β it decision variables ,and the random error present negative and positive deviation variable ,and the dependent variable Y present absolute bound linear Goal programming technique. After obtain on estimations using the two techniques, we observe that two techniques are fitting in estimated the perimeters of the linear multiple regression model, by make comparison between two techniques using Wilcoxon test. | ||
| Keywords | ||
| Axis of a statistical | ||
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