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jeasiq-2608
Estimating the Population Mean in Stratified Random Sampling Using Combined Regression with the Presence of Outliers
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In this research, the covariance estimates were used to estimate the population mean in the stratified random sampling and combined regression estimates. were compared by employing the robust variance-covariance matrices estimates with combined regression estimates by employing the traditional variance-covariance matrices estimates when estimating the regression parameter, through the two efficiency criteria (RE) and mean squared error (MSE). We found that robust estimates significantly improved the quality of combined regression estimates by reducing the effect of outliers using robust covariance and covariance matrices estimates (MCD, MVE) when estimating the regression parameter. In addition, the results of the simulation study proved that the Minimum covariance determinant (MCD) method is highly efficient at all sample sizes (n=35, 75, 150, 200, 500) and then followed by the method of the smallest ellipse Minimum volume Ellipsoid (MVE) handles outliers in the dataset, where it has lower values (MSE).

 

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Publication Date
Wed Dec 31 2014
Journal Name
Al-khwarizmi Engineering Journal
Catalytic Cracking of Iraqi Vacuum Gasoil Using Large and Medium Pore Size of Zeolite Catalysts
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Abstract 

The catalytic cracking conversion of Iraqi vacuum gas oil was studied on large and medium pore size (HY, HX, ZSM-22 and ZSM-11) of zeolite catalysts. These catalysts were prepared locally and used in the present work. The catalytic conversion performed on a continuous fixed-bed laboratory reaction unit. Experiments were performed in the temperature range of 673 to 823K, pressure range of 3 to 15bar, and LHSV range of 0.5-3h-1. The results show that the catalytic conversion of vacuum gas oil increases with increase in reaction temperature and decreases with increase in LHSV. The catalytic activity for the proposed catalysts arranged in the following order:

HY>H

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Publication Date
Tue Dec 01 2009
Journal Name
Journal Of Lightwave Technology
A Random Number Generator Based on Single-Photon Avalanche Photodiode Dark Counts
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Publication Date
Sun Jul 02 2017
Journal Name
Journal Of Educational And Psychological Researches
Bayer effective strategy in the development of deductive thinking when students fifth grade literary material in history
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Supervised By : Prof. dr. Shaker Jaseem Mohammed This research aims to identify the (effectiveness of Bayer's strategy in the development of deductive thinking among students in the fifth grade literary material European history) and to achieve the goal set researcher null hypothesis of the following: • There is no statistically significant difference between the average scores of the experimental group which studied the use of Bayer's strategy and the control group, which studied the use of the usual way in the development of deductive reasoning. The study sample consisted of (84 students) of the students in the fifth grade literary breeding Baghdad / Karkh second Directorate for the academic year 2015-2016 were distributed Aanhaldras

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Publication Date
Wed Dec 30 2015
Journal Name
College Of Islamic Sciences
Tolerance and its impact on building society
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Tolerance and its impact on building society

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Publication Date
Sat Feb 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
Applying some hybrid models for modeling bivariate time series assuming different distributions for random error with a practical application
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Abstract

  Bivariate time series modeling and forecasting have become a promising field of applied studies in recent times. For this purpose, the Linear Autoregressive Moving Average with exogenous variable ARMAX model is the most widely used technique over the past few years in modeling and forecasting this type of data. The most important assumptions of this model are linearity and homogenous for random error variance of the appropriate model. In practice, these two assumptions are often violated, so the Generalized Autoregressive Conditional Heteroscedasticity (ARCH) and (GARCH) with exogenous varia

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Publication Date
Sun May 31 2026
Journal Name
International Journal Of Intelligent Engineering And Systems
A Novel PSO-optimized Random Forest Model for Enhanced Phishing Detection
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Illegal web platforms known as phishing websites adopted high-risk threats to mimic legitimate online platforms in order to steal important data of users, like login credentials and financial information. These forged platforms often involve internet tactics to attract unsuspecting victims through URL manipulation. Many recent machine learning techniques are proposed for detecting web attackers. However, under an increasing number of internet users, they struggle to reveal recent phishing strategies for stealing sensitive information covered by fake websites. This study presents a comprehensive methodology for detecting phishing websites through a proposed hybrid technique (RF_PSO) by involving the Random Forest (RF) classification algorith

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Publication Date
Mon Jul 01 2019
Journal Name
Arpn Journal Of Engineering And Applied Sciences
PSEUDO RANDOM NUMBER GENERATOR BASED ON NEURO-FUZZY MODELS
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Producing pseudo-random numbers (PRN) with high performance is one of the important issues that attract many researchers today. This paper suggests pseudo-random number generator models that integrate Hopfield Neural Network (HNN) with fuzzy logic system to improve the randomness of the Hopfield Pseudo-random generator. The fuzzy logic system has been introduced to control the update of HNN parameters. The proposed model is compared with three state-ofthe-art baselines the results analysis using National Institute of Standards and Technology (NIST) statistical test and ENT test shows that the projected model is statistically significant in comparison to the baselines and this demonstrates the competency of neuro-fuzzy based model to produce

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Publication Date
Mon Oct 01 2018
Journal Name
2018 Ieee/acs 15th International Conference On Computer Systems And Applications (aiccsa)
Utilizing Hopfield Neural Network for Pseudo-Random Number Generator
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Publication Date
Sun Jan 01 2023
Journal Name
نسق
التلكؤ االكاديمي لطلبة الاول متوسط (مدارس المتميزين )
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الملخص: لتحقيق أهداف البحث قامت الباحثة اعداد مقياس التلكؤ الاكاديمي اعتمادا على نظرية (باندورا) وتكون المقياس بصورته النهائية من (21) فقرة ، وطبق المقياس على عينة البحث البالغة (100) طالب وطالبة تم اختيارهم بالطريقة العشوائية البسيطة من مجتمع البحث ،وبعد جمع البيانات تم معالجتها باستعمال الوسائل الإحصائية المناسبة، توصل البحث الى النتائج الأتية : الى ان الطلبة ليس لديهم تلكؤ اكاديمي و اعلى من المتوسط، لا توج

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Publication Date
Wed Nov 14 2018
Journal Name
Arab Science Heritage Journal
المجتمع المجتمع الاسكندري: عاداته وتقاليده الاجتماعية في العصر المملوكي (648-923هـ/1250-1517م)
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ان دراسة الاحوال الاجتماعية في الاسكندرية خلال العصر المملوكي امر مهم لاسيما ان الحياة الاجتماعية في مصر عامة والاسكندرية خاصة اتصفت بكونها بطيئة التغيير خلاف جوانب الحياة الاخرى التي اتصفت بسرعة تغير مجراها كما وان تاريخ الاسكندرية الاجتماعي كان زاخرا بالكثير من نواحي النشاط الانساني من ميادين العمل والتسلية والترفيه والاعياد والافراح فضلا عن تنوع عناصره السكانية وهذا ما سنتناوله ضمن محاور هذا البحث.

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