İlk çağlarda yaşayan insanların hayal dünyasını tanıtan masallar görünümünde olan destanlar‚ aslında‚ milleylerin tarih öncesi devirlerde başlayan kuruluşlarını‚ inanışlarını‚ erdemlerini‚ fikir ve sanatlarını anlatır.
Destanlar‚ kökü tarihe dayanan olayların, halk gözüyle görülen‚ halk ruhuyla duyulan masallaşmış görüntüleridir. Destanlarda milletlerin dinleri, türlü inanışları‚ Tanrı karşısındaki davranışları, yaşadıkları coğrafyanın özellikleri ile birleşmiş duyguları vardır.
Su köpüğünden yaratılmış‚ bir ağacın karnından doğmuş, ışık kümelerinin içinden çıkmış‚ fil kadar kuvvetli, güneş kadar güzel insanların maceralarını anlatan bu destanlar‚ aslında uzun manzum hikayelerdir.
Dünyaca ünlü destan metinlerini araştırarak hangi milletlere ait olduklarını tesbit edilmektedir.
Türk destanları, Türk edebiyatının önemli bir bölümünü oluşturmaktadır.Türk destanlarının ilk dönemine, İslamiyet Öncesi Türk destanları denilmektedır. Bu destanlar‚ Türklerin İslam dinine ve yerleşik hayata geçmeden önce, uzun süre içinde yaşadıkları atlı-göçebe medeniyetinin özelliklerini yanıstır.
Exponential 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 MoreThe 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 Moreتحليل 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 MoreThe 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 MoreBreast cancer is the most repeatedly detected cancer category and the second reason cause of cancer-linked deaths among women worldwide. Tumor bio-indictor is a term utilized to describe possible indicators for carcinoma diagnosis, development and progression. The goal of this study is to evaluate part of some cytokines and biomarkers for both serum and saliva samples in breast cancer then estimate their potential value in the early diagnosis of breast cancer by doing more researches in saliva, and utilizing saliva instead of blood (serum and plasma) in sample collection from patients. Serum and salivary samples were taken from 72 patients with breast cancer and 45 healthy controls, in order to investigate the following
... Show MoreThe prospective study has been designed to determine some biomarkers in Iraqi female patients with
breast cancer. The current study contained 30 patients whose tissue samples have been collected from
hospitals in Medical City in Baghdad after consent patients themselves and used immunohistochemical
technique to determine these markers. The results showed a significant correlation between ER and PR tissue
markers (Sig = 0.000) and a significant correlation between cyclin E phenotype and cyclin E intensity (Sig =
0.001).
هدف هذا البحث إلى قياس الإجهاد الرقمي لدى طلبة جامعة بغداد، والكشف عن الفروق في الإجهاد الرقمي بناءً على متغيرات الجنس (ذكر - أنثى)، والمرحلة الدراسية (أولى - رابعة)، والاختصاص (علمي - إنساني). تألفت عينة البحث من (200) طالبًا وطالبة من جامعة بغداد، وتم تطبيق مقياس" الإجهاد الرقمي "الذي تم إعداده من قبل الباحثة خصيصًا لهذا البحث. وتم اعتماد المنهج الوصفي التحليلي وبعد تطبيق مقياس البحث وتحليل النتائج بالوسائل الإحص
... Show MoreUrban Balance is one of the important indicators that leads to an assessment of the urbanization process in a particular country , province or even a city that is multi-centered. By examining the data related to Anba province, it was found that the value of this indicator is equal to 0.96, which is less than the absolute one, and therefore the urbanization in the province is distributed collectively
The development of a mathematical or statistical model for estimating urban growth is a complex process due to the overlap between indicators or variables that can be adopted to calculate estimate growth rates Al-Qaim city has been considered as an example to develop a statistical method by which changes
... Show MoreThe multiple linear regression model is an important regression model that has attracted many researchers in different fields including applied mathematics, business, medicine, and social sciences , Linear regression models involving a large number of independent variables are poorly performing due to large variation and lead to inaccurate conclusions , One of the most important problems in the regression analysis is the multicollinearity Problem, which is considered one of the most important problems that has become known to many researchers , As well as their effects on the multiple linear regression model, In addition to multicollinearity, the problem of outliers in data is one of the difficulties in constructing the reg
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