In recent years, the attention of researchers, governments and international non-governmental organizations has focused on the aggressive practices adopted by companies with the aim of evading the tax burden or from paying the tax obligations imposed on them by law, as the results of these practices are negatively affected by tax revenues. And that companies are part of the society in which they work, and they have rights and obligations, including paying taxes. The research community is the Iraqi private shareholding companies, and the research sample was 4 companies within the private sector and in the field and finance - banking, insurance, industrial and service, which are Ashur Bank, Al-Ahlia Insurance Company, Baghdad Soft Drinks Company and Asia Cell Company. The research aimed to measure the effect of the voluntary disclosure of companies on tax evasion in the companies of the research sample and for the period from 2011 to 2015 through the results of analyzing the level of practice of the searched companies for the voluntary disclosure. The absence of a trace of voluntary disclosure in tax evasion and the research summarized the variation and difference in the rates of voluntary disclosure for companies between sectors. There is no specific or converging level, which means that each company has its own unique policy, culture and awareness of adopting and practicing optional disclosure regardless of the sector in which it operates. And Iraqi private shareholding companies, based on the results of the analysis of the financial reports of the companies, the research sample practiced tax evasion at different rates The most important thing is the adoption of the optional disclosure measurement model proposed in this research as a basis for measuring the optional disclosure, as it is a measure that includes many financial, insurance, industrial and service sectors and activating the role of the supervisory and supervisory authorities, in the forefront of which is the tax administration represented by the General Tax Authority and reducing the opportunities and volume of manipulation in financial reports and imposing penalties Strict and deterrent against those who violate the tax law and infringe on it and try to present misleading financial data by enacting many judicial rulings and high fines
يهدف البحث التعرف على اثر استراتيجية القوائم المركزة في تحصيل مادة الكيمياء عند طلاب الصف الثاني المتوسط وتم استخدام المنهد التجريبي ذو الضبط الجزئي وكذلك تم اختيار مجامع البحث جميع طلاب المدارس الثانوية والمتوسطة التابعة لمديرية تربية كربلاء
Simulation Study
Abstract :
Robust statistics Known as, Resistance to mistakes resulting of the deviation of Check hypotheses of statistical properties ( Adjacent Unbiased , The Efficiency of data taken from a wide range of probability distributions follow a normal distribution or a mixture of other distributions with different standard deviations.
power spectrum function lead to, President role in the analysis of Stationary random processes, organized according to time, may be discrete random variables or continuous. Measuring its total capacity as frequency function.
Estimation methods Share with
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Among the different passive techniques heat pipe heat exchanger (HPHE) seems to be the most effective one for energy saving in heating ventilation and air conditioning system (HVAC). The applications for nanofluids with high conductivity are favorable to increase the thermal performance in HPHE. Even though the nanofluid has the higher heat conduction coefficient that dispels more heat theoretically but the higher concentration will make clustering .Clustering is a problem that must be solved before nanofluids can be considered for long-term practical uses. Results showed that the maximum value of relative power is 0.13 mW at nanofluid compared with other concentrations due to the low density of nanofluid at this concentration. For highe
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لقب بـ( طبي
... Show MoreThis paper proposed a new method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables. It utilized the formula of the Nadaraya Watson estimator (K-Nearest Neighbour (KNN)) for prediction with different types of the semi-metrics, (which are based on Second Derivative and Functional Principal Component Analysis (FPCA)) for measureing the closeness between curves. Root Mean Square Errors is used for the implementation of this model which is then compared to the independent response method. R program is used for analysing data. Then, when the cov
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