Transforming the common normal distribution through the generated Kummer Beta model to the Kummer Beta Generalized Normal Distribution (KBGND) had been achieved. Then, estimating the distribution parameters and hazard function using the MLE method, and improving these estimations by employing the genetic algorithm. Simulation is used by assuming a number of models and different sample sizes. The main finding was that the common maximum likelihood (MLE) method is the best in estimating the parameters of the Kummer Beta Generalized Normal Distribution (KBGND) compared to the common maximum likelihood according to Mean Squares Error (MSE) and Mean squares Error Integral (IMSE) criteria in estimating the hazard function. While the pr

     In this study, the stellar mass M*(L_B) and the atomic gas mass M_HI (L_B) were utilized to evaluate the baryonic mass Tully–Fisher (M_b) of disc system spiral galaxies (for normal spiral and barred spirals) and to obtain an empirical relation between masses M_b, M_HI, M* and optical luminosity at blue range L_B. The data for the studied sample was collected from literature papers for unbarred (normal) and barred-type morphological spiral galaxies. Therefore, in this work, the sample of data was chosen to analyze the baryonic mass Tully–Fisher relationship for normal and barred spiral galaxies. Statistical analysis of the connections was used between the

     The main purpose of this paper is to study the application of weyl module and resolution in the case skew- shapes (6, 5) / (1, 0) and (6, 5) / (2, 0) by using contracting homotopy and the place polarization.

In this study, we used Bayesian method to estimate scale parameter for the normal distribution. By considering three different prior distributions such as the square root inverted gamma (SRIG) distribution and the non-informative prior distribution and the natural conjugate family of priors. The Bayesian estimation based on squared error loss function, and compared it with the classical estimation methods to estimate the scale parameter for the normal distribution, such as the maximum likelihood estimation and th

The logistic regression model regarded as the important regression Models ,where of the most interesting subjects in recent studies due to taking character more advanced in the process of statistical analysis .                                                

The ordinary estimating methods is failed in dealing with data that consist of the presence of outlier values and hence on the absence of such that have undesirable effect on the result.    &nbs

The aim of current study is to analyze the content of intermediate stage biology books based on multiple intelligences. To do this, the researcher used the descriptive analytical approach. To analyze the three books of the intermediate stage, the author adopted content analysis tool and area unit. They were exposed to group of experts in methods of teaching biology, and measurement and evaluation. The findings of the study have shown a significant difference between what was expected and the observation of the multiple intelligences for the three biology books excluded the (social, musical, and kinetic intelligence), and there is no significant difference between the analysis' result of the biology books and the expectations of b

The paired sample t-test for testing the difference between two means in paired data is not robust against the violation of the normality assumption. In this paper, some alternative robust tests have been suggested by using the bootstrap method in addition to combining the bootstrap method with the W.M test. Monte Carlo simulation experiments were employed to study the performance of the test statistics of each of these three tests depending on type one error rates and the power rates of the test statistics. The three tests have been applied on different sample sizes generated from three distributions represented by Bivariate normal distribution, Bivariate contaminated normal distribution, and the Bivariate Exponential distribution.

Four genetic populations ( P1 , P2 , F1 , F2) were used in this study .
The parental cross in barley ( P1 barakq and P2 Pakistan ) was done . Many quantitative
pheno types were estimated such as plants length , tillers number , grains yield , capsules
number , the number of grains per capsule and the weight of 1000 grains . The results showed
significant differences in genetic variance values in the seconed filial generation ( F2) for all
the studied phenotypes : High values for the heritability were observed for all the studied
phenotypes .
These results indicated the effect of additive and non-additive genes on the quantitative
phenotypes . Finally , the selection of first generation can utilized for impro