The issue of infertility is one of the most important topics addressed by society, especially in our current situation. The Probit regression method is one of the most important methods in this analysis which effects on the statistical tests of the significance of the estimated parameters of the regression model. In this paper, we studied the Probit regression model to determine the most important factors affecting the success of pregnancy and life birth after in-vitrofertilization (IVF), where a simple random sample of ( 160) infertile individuals was withdrawn, represented by the following variables; Maternal age, paternal age, Types of infertility, Number of previous treatment cycles, Who is the cause of the infertility (man or woman), Number of retrieved oocytes, Frozen embryos transfer (FET),Anti-Müllerian hormone (AMH), Follicle-stimulating hormone (FSH)andLuteinizing hormone (LH).Of these and through the statistical program SPSS, we concluded that the paternal and maternal ages, type of infertility, cause of infertility and FSH are influential factors on the success of pregnancy.

In this paper, we have been used Bayes Technique depending on the normal conjugate function to estimate parameters of the multiple regression model, and we have been tested significance of this model. The test showed in the application that the mean square error (MSE) for the used model was decreasing, also it showed that the determinant coefficient is increasing highly. In the same time, value of the computed F-test was significant according to the above we can consider that the model is significant

The paper deals with the comparison between the methods of estimating the reliability of arriving at the time of the trip for the Burr distribution, namely (Maximum likelihood method, the Bayes method, the non-linear least squares method). We are comparing among the three estimation methods using the simulation method. To make an understanding of the best method for estimating the reliability of arriving at the Burr distribution through a comparison between the three methods, an integrative mean square error standard (IMSE) was used, as the simulation results showed the preference of the Bayes method over the other methods.

No abstract