The current research was aimed at the following:
1. Measurement of Personality Type Observer of the University students.
2. Identify the differences in Personality Type Observer among the University students according to variable of Sex (male / female). And according to variable of Specialization (scientific / literary)
3. Measurement of Withdrawal of the University students.
4. Identify the differences in Withdrawal among the University students according to variable of Sex (male / female). And according to variable of Specialization (scientific / literary).
5. Identify the relationship between Personality Type Observer and Withdrawal.
To achieve this aims of the research, the researchers set up the instrument is scale of Personality Type Observer that consistent (24) item and Withdrawal that consistent (20) item. And the researcher applying this scale on the sample amounted to (200) University students. Then after data processing statistically, the researchers reached the following results:
1. University students have Personality Type Observer.2. There is no differences in Personality Type Observer among the University students according to variable of Sex (male / female). And There is differences according to variable of Specialization (scientific / literary) for literary
3. University students have Withdrawal.
4. There is no differences in Withdrawal among the University students according to variable of Sex (male / female). And There is no differences according to variable of Specialization (scientific / literary).
5. There is relationship between Personality Type Observer and Withdrawal.
In light of the results of this research the researchers came out with a number of recommendations and suggestions.
In this paper we estimate the coefficients and scale parameter in linear regression model depending on the residuals are of type 1 of extreme value distribution for the largest values . This can be regard as an improvement for the studies with the smallest values . We study two estimation methods ( OLS & MLE ) where we resort to Newton – Raphson (NR) and Fisher Scoring methods to get MLE estimate because the difficulty of using the usual approach with MLE . The relative efficiency criterion is considered beside to the statistical inference procedures for the extreme value regression model of type 1 for largest values . Confidence interval , hypothesis testing for both scale parameter and regression coefficients
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The investment environment is the incubator for all types of domestic and foreign investments, so if their determinants are encouraging, they increase the levels of investment flows and vice versa, as there is a relationship between the nature of the investment environment and the level of investment flows, and the determinants of the investment environment are numerous and the most important of which are security and political stability, and economic and financial factors that include relative stability In the exchange rate and inflation rates, the availability of banks and their development, transparency and integrity in administrative dealings and the lack of prevalence of administrative and financial corruption, and the clari
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