Choose the best estimation Methods for the multi – response dependent Variable .
journal of kerbala university,
2017, Volume 13, Issue 4, Pages 209-219
AbstractWe used in our Study the descriptive regression model, when the dependent variable is multi–response, by studying some models related to these descriptive variables. was estimation the parameters of the model of dependent variable, using "weighted least squares "method, the method of " maximum likelihood ", and "Jackknife estimation" method. we used "The Monte Carlo" method in simulation experiment for three levels of sample (small, medium and large) with different sizes by generate random numbers for the parameters of regression model. ,We found, by using The Monte Carlo method of estimation, that the (MLE) method is the best and efficient in the small samples, whereas the (JAK) method is the best in the medium samples, and the two methods (MLE and (JAK) are equivalent in large sample size. From the empirical side, on the other hand,
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