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jeasiq-1466
تقدير معلمتي التوزيع الاسي العام باستخدام اسلوب المحاكاة
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The main aim of this paper is to study how the different estimators of the two unknown parameters (shape and scale parameter) of a generalized exponential distribution behave for different sample sizes and for different parameter values. In particular, 

. Maximum Likelihood, Percentile and Ordinary Least Square estimators had been implemented for different sample sizes (small, medium, and large) and assumed several contrasts initial values for the two parameters. Two indicators of performance Mean Square Error and Mean Percentile Error were used and the comparisons were carried out between different methods of estimation  by using monte carlo simulation technique .. It was observed from the results that the PCE method had a better performance than the other methods for different sample sizes.

                                   



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Publication Date
Thu Jul 03 2025
Journal Name
Al-hiqouq
التفاوض في العقود الإدارية- اسلوب المناقصة أنموذجا ...أ.م.د. محمود خليل خضير
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Publication Date
Thu Nov 01 2007
Journal Name
Al-academy
الاستجابة لدرجات السلم الموسيقي باستخدام المغاني
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التنغيم (الصولفيج-Solfege) كأي مادة من مواد التعليم الموسيقي، يعمل على تنمية القابليات الموسيقية لدى تلاميذ مدارس ومعاهد وكليات الموسيقى. والمعروف بأن نسبة عالية من تلاميذ وخريجي مؤسساتنا تلك يفشلون في شق طريقهم الموسيقيي الحقيقي، لضعف إعدادهم في مادة التنغيم، فما أكثر حالات وجود خريجين في تلك المؤسسات عاجزين عن تنغيم أبسط الألحان برؤية نصها الموسيقي لأول وهلة. فقد شاع في التطبيق العملي للتنغيم إعتماد قرار ال

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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
comparison between the methods estimate nonparametric and semiparametric transfer function model in time series the Using simulation
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 The transfer function model the basic concepts in the time series. This model is used in the case of multivariate time series. As for the design of this model, it depends on the available data in the time series and other information in the series so when the representation of the transfer function model depends on the representation of the data In this research, the transfer function has been estimated using the style nonparametric represented in two method  local linear regression and cubic smoothing spline method The method of semi-parametric represented use semiparametric single index model, With four proposals, , That the goal of this research is comparing the capabilities of the above mentioned m

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Publication Date
Wed Oct 24 2018
Journal Name
Journal Of Planner And Development
تقويم الآليات المقترحه لتنمية محافظة الانبار لسنة 2030 باستخدام اسلوب التحليل الهرمي
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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Spatial Distribution of Heavy Element in Erbil's Municipal Landfills by Using GIS
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Untreated municipal solid waste (MSW) release onto land is prevalent in developing countries. To reduce the high levels of harmful components in polluted soils, a proper evaluation of heavy metal concentrations in Erbil's Kani Qrzhala dump between August 2021 and February 2022 is required. The purpose of this research was to examine the impact of improper solid waste disposal on soil properties within a landfill by assessing the risks of contamination for eight heavy elements in two separate layers of the soil by using geoaccumulation index (I-geo) and pollution load index (PLI) supported. The ArcGIS software was employed to map the spatial distribution of heavy element pollution and potential ecological risks. The I-geo values in summe

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Publication Date
Sun Sep 22 2019
Journal Name
Baghdad Science Journal
Estimation of Survival Function for Rayleigh Distribution by Ranking function:-
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In this article, performing and deriving te probability density function for Rayleigh distribution is done by using ordinary least squares estimator method and Rank set estimator method. Then creating interval for scale parameter of Rayleigh distribution. Anew method using   is used for fuzzy scale parameter. After that creating the survival and hazard functions for two ranking functions are conducted to show which one is beast.

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Publication Date
Tue Sep 15 2020
Journal Name
Al-adab Journal
مواقع التواصل الاجتماعي وتأثيرها في تشكيل الرأي العام إزاء القضايا السياسية
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يسعى هذه البحث لتسليط الضوء على مواقع التواصل الاجتماعي التي تعمل على تأطير عملية التواصل بين فئات المجتمع الكبير و صناعة رأي عام متفاعل. فالرأي العام يمكن أن يظهر للعيان في أبسط معاينه على شكل وحدات متفاعلة و ظاهرة التفاعل لها أوجهها المتعددة. إذن الرأي العام هو عناصر و مقويات و نتائج عملية التفاعل. ويعد البحث وصفيا من حيث النوع وقد استعمل الباحث المنهج المسحي لدراسة مجتمع البحث بوساطة الاستبانة. وأجر

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Publication Date
Wed Jun 01 2011
Journal Name
Journal Of Economics And Administrative Sciences
Selection of the initial value of the time series generating the first-order self-regression model in simulation modeAnd their impact on the accuracy of the model
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In this paper, compared eight methods for generating the initial value and the impact of these methods to estimate the parameter of a autoregressive model, as was the use of three of the most popular methods to estimate the model and the most commonly used by researchers MLL method, Barg method  and the least squares method and that using the method of simulation model  first order autoregressive through the design of a number of simulation experiments and the different sizes of the samples.

                  

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Publication Date
Sat Dec 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
" أنعكاس تبني المعيار المحاسبي الدولي رقم ( 2 ) للقطاع العام على بيان التدفق النقدي "
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يعد بيان التدفق النقدي من البيانات المهمة الصادرة من الوحدات الحكومية غير الهادفة للربح، بعد تبنيها معايير IPSASs ، مما يوفر معلومات اوسع تلبي حاجات المستخدمين لأتخاذ القرارات المناسبة . أذ يتضمن بيان التدفق النقدي بموجب المعيار رقم ( 2 ) التدفقات النقدية حسب الأنشطة التشغيلية و الاستثمارية والتمويلية ، وهذا لا ينسجم مع مخرجات النظام المحاسبي الحكومي العراقي . وان هدف البحث هو  التعرف

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Human Pose Estimation Algorithm Using Optimized Symmetric Spatial Transformation Network
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Human posture estimation is a crucial topic in the computer vision field and has become a hotspot for research in many human behaviors related work. Human pose estimation can be understood as the human key point recognition and connection problem. The paper presents an optimized symmetric spatial transformation network designed to connect with single-person pose estimation network to propose high-quality human target frames from inaccurate human bounding boxes, and introduces parametric pose non-maximal suppression to eliminate redundant pose estimation, and applies an elimination rule to eliminate similar pose to obtain unique human pose estimation results. The exploratory outcomes demonstrate the way that the proposed technique can pre

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