This research deals with the relationship between television advertising and buying random cosmetics, where we find that TV ads influence on the purchasing behavior of women, has conducted research in the field on a sample of women in the University of Baghdad, was a random sample taken from 150 different women in the age and social levels educational and cultural students and employees and teachers in order to sample representative be for the research community, and designed a questionnaire for this purpose form as a tool to collect data and information search and analyzed they answered the sample surveyed using a statistical program (spss) to extract percentages And correlation coefficients and testing square Kay , The study found Of w

This research included isolation of 18 bacterial isolates from children stool with diarrhea and acute bloody water and under the age of five, if possible get a 9 isolates of the bacterium Escherichia coli and 5 isolates of the bacterium Salmonella typhimurium and 4 isolation of the bacterium Shigella flexneri, subjected all of these isolates tests AGRO and microscopic and biochemical and diagnosed using Vitek2 system. Tested the effectiveness of inhibitory extract alcohol to peel pomegranate Punica granatum L. in the growth of isolates bacterial intestinal and using the diffusion method in drilling Well diffusion as well as determine the focus damper Near Minimum inhibitory concentration MIC and focus killer Near Minimal bactericidal con

   Nonlinear regression models are important tools for solving optimization problems. As traditional techniques would fail to reach satisfactory solutions for the parameter estimation problem.  Hence, in this paper, the BAT algorithm  to estimate the parameters of  Nonlinear Regression models is used . The simulation study is considered to investigate the performance of the proposed algorithm with the maximum likelihood (MLE) and Least square (LS) methods. The results show that the Bat algorithm provides accurate estimation and it is satisfactory for the parameter estimation of the nonlinear regression models than MLE and LS methods depend on Mean Square error.

RA Ali, LK Abood, Int J Sci Res, 2017 - Cited by 2

In this paper, we will study non parametric model when the response variable have missing data (non response) in observations it under missing mechanisms MCAR, then we suggest Kernel-Based Non-Parametric Single-Imputation instead of missing value and compare it with Nearest Neighbor Imputation by using the simulation about some difference models and with difference cases as the sample size, variance and rate of missing data.