Color is perhaps the most important element in art because it is what first attracts
attention when looking at any thing or any work of art.the important of colors is clear in
the life of every one of the people. A good color scheme in all aspect s of life is a clear
indication of a highly developed society and nation. It also has appositive effect on the
individual s by providing feeling s of joy and comfort – such feeling encourage hard work
and productivity whether at home. At school or at work.
A study of childhood and attention of the criteria by which to measure the progress
of society and its development as the interest in childhood is in fact interesting Bmstqubla
the whole nation. The current research sheds light on the importance of colors and their
role in the lives of children and variables that reflected on their behavior and their actions
in life. The importance of the subject.
The researcher chose to kindergarten aged children (4-6 years), which formed in
the this stage, the first seed of the aesthetic taste and understanding of what the resentment
of the size and color of the children. And the tendency of the child in this age to use the
colors of the design and choice of colors, favorite games has. Therefore, parents must take
into account the environment variable and gender when choosing a favorite color of
Alatvalhm.
ظهر التحول نحو العولمة في ضوء التغيرات العالمية السريعة والمتلاحقة والعميقة في آثارها وتوجهاتها المستقبلية وخاصة تلك التي شهدها الربع الاخير من القرن العشرين الماضي .إذ تحول الاقتصاد العالمي بالفعل إلى قرية صغيرة متنافسة الاطراف بفعل الثورة التكنولوجية والمعلوماتية . ولم تتوقف الامور عن هذا الحد إذ ان التطور العالمي الحديث وما سيشهده العالم من سيطرة العولمة الجديدة التي تدعو لحرية التجارة وسهولة تبادل الب
... Show MoreIn this paper was discussed the process of compounding two distributions using new compounding procedure which is connect a number of life time distributions ( continuous distribution ) where is the number of these distributions represent random variable distributed according to one of the discrete random distributions . Based on this procedure have been compounding zero – truncated poisson distribution with weibell distribution to produce new life time distribution having three parameter , Advantage of that failure rate function having many cases ( increasing , dicreasing , unimodal , bathtube) , and study the resulting distribution properties such as : expectation , variance , comulative function , reliability function and fa
... Show More
Chemical compounds, characteristics, and molecular structures are inevitably connected. Topological indices are numerical values connected with chemical molecular graphs that contribute to understanding a chemical compounds physical qualities, chemical reactivity, and biological activity. In this study, we have obtained some topological properties of the first dominating David derived (DDD) networks and computed several K-Banhatti polynomials of the first type of DDD.
(2)
Current research strives to achieve the following aims:
- Develop a scale for dominant values of Tikrit university students.
- Measuring the dominant of Tikrit university students.
- Identifying the significant differences among dominant values of Tikrit university students according to(sex, specialty, time).
- Measuring the dominant values of each one of the six fields of the scale.
- Identifying the differences in dominant values of each field according to the sex variables.
The current research has limi
... Show MoreExponential distribution is one of most common distributions in studies and scientific researches with wide application in the fields of reliability, engineering and in analyzing survival function therefore the researcher has carried on extended studies in the characteristics of this distribution.
In this research, estimation of survival function for truncated exponential distribution in the maximum likelihood methods and Bayes first and second method, least square method and Jackknife dependent in the first place on the maximum likelihood method, then on Bayes first method then comparing then using simulation, thus to accomplish this task, different size samples have been adopted by the searcher us
... Show More
The using of the parametric models and the subsequent estimation methods require the presence of many of the primary conditions to be met by those models to represent the population under study adequately, these prompting researchers to search for more flexible parametric models and these models were nonparametric, many researchers, are interested in the study of the function of permanence and its estimation methods, one of these non-parametric methods.
For work of purpose statistical inference parameters around the statistical distribution for life times which censored data , on the experimental section of this thesis has been the comparison of non-parametric methods of permanence function, the existence
... Show More
تحليل الأخطاء الصوتية في بعض كتب اللغة الروسية الدراسية
Linear discriminant analysis and logistic regression are the most widely used in multivariate statistical methods for analysis of data with categorical outcome variables .Both of them are appropriate for the development of linear classification models .linear discriminant analysis has been that the data of explanatory variables must be distributed multivariate normal distribution. While logistic regression no assumptions on the distribution of the explanatory data. Hence ,It is assumed that logistic regression is the more flexible and more robust method in case of violations of these assumptions.
In this paper we have been focus for the comparison between three forms for classification data belongs
... Show More
The development in manufacturing computers from both (Hardware and Software) sides, make complicated robust estimators became computable and gave us new way of dealing with the data, when classical discriminant methods failed in achieving its optimal properties especially when data contains a percentage of outliers. Thus, the inability to have the minimum probability of misclassification. The research aim to compare robust estimators which are resistant to outlier influence like robust H estimator, robust S estimator and robust MCD estimator, also robustify misclassification probability with showing outlier influence on the percentage of misclassification when using classical methods. ,the other
... Show More