The grey system model GM(1,1) is the model of the prediction of the time series and the basis of the grey theory. This research presents the methods for estimating parameters of the grey model GM(1,1) is the accumulative method (ACC), the exponential method (EXP), modified exponential method (Mod EXP) and the Particle Swarm Optimization method (PSO). These methods were compared based on the Mean square error (MSE) and the Mean Absolute percentage error (MAPE) as a basis comparator and the simulation method was adopted for the best of the four methods, The best method was obtained and then applied to real data. This data represents the consumption rate of two types of oils a heavy fuel (HFO) and diesel fuel (D.O) and the use of tests to confirm the accuracy of the grey model. After obtaining the results, the best method to estimate the parameters of the grey model GM(1,1) is the method of the Particle Swarm Optimization method (PSO) It has been used to treatment the missing values in the data and in the prediction where it has been shown to have the best results
يمثل المنعكس الدهليزي العيني Vestibulo-Ocular Reflex (VOR) احد الاجهزة المهمة لحفظ التوازن فضلا عن اهميته في التاثير مظاهر الانتباه لدى الملاكمين اذ يحتاج الملاكمون الى اداء حركات متعددة في الراس مع اشتراط تثبت النظر نحو المنافس، ومن اجل تطوير المنعكس الدهليزي العيني استخدم الباحثان نموذج تدريبي يتمثل في مربع بخطوط طولية وعرضية وقطرية يحرك فيها الملاكم راسه مع تثبيت النظر في المركز، وبعد تنفيذ التدريبات على النموذ
... Show MoreThere have been many writings and discussions that dealt with the details and interpretation of the research methods and the identification of the methods and methodological methods used by researchers and writers as they deal with research topics and problems in all fields of natural and human sciences. But we noticed that the movement of science and its knowledge and development requires the identification of suitable tools and methodological methods appropriate for each type of science. In other words, attempts should be established to build appropriate methodological tools for human and cognitive activity that can be referred to as a specific science that sets out certain paths of the human sciences which is certainly the ori
... Show Moreان هدف هذا البحث يتمثل بيان أهمية تقدير دالة الانحدار شبه المعلميه .إذ تم استعراض بعض الطرائق شبه المعلميه مع بعض الطرائق المقترحة لتقدير دالة الانحدار , ومن ثم مقارنة هذه الطرائق من خلال أسلوب المحاكاة باستعمال توزيعات, إحجام عينات ومستويات تباين مختلفة للمتغير X , اذ تم اقتراح مقدر مدمج شبه معلمي لتقدير دالة الانحدار وقد اثبتت النتائج افضلية هذا المقدر المقترح في حالة الأنموذجين الأول والثاني, إما للأنم
... Show MoreIn 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.
Analysis the economic and financial phenomena and other requires to build the appropriate model, which represents the causal relations between factors. The operation building of the model depends on Imaging conditions and factors surrounding an in mathematical formula and the Researchers target to build that formula appropriately. Classical linear regression models are an important statistical tool, but used in a limited way, where is assumed that the relationship between the variables illustrations and response variables identifiable. To expand the representation of relationships between variables that represent the phenomenon under discussion we used Varying Coefficient Models
... Show MoreAbstract
Objectives: this study aims to: (1). Assess self-esteem level and academic achievement for students of nursing colleges in southern Iraq. (2). Determine the relationship between levels of self-esteem and academic achievement of the student in the first semester. (3). Identify differences of self-esteem with gender and different age groups.
Methodology: a sample of (426 students) was purposively selected then collected by using a questionnaire which consisted of: I- Sociodemographic characteristics for assessing some important aspects of students, II- Rosenberg's Self-Esteem Scale (RSES) III- Iraq Grading Scale for assessing student achievement. Finally statistical analysis (SPSS) for data processing.
Results: study resu