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Publication Date
Sun May 11 2025
Journal Name
Iraqi Statisticians Journal
DOI
10.62933/3e7qvw48
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RxjN2pYBVTCNdQwCO4dW
Semi-Parametric Fuzzy Quantile Regression Model EstimationBased on Proposed Metric via Jensen–Shannon Distance
Fuzzy Metric
Shannon Entropy
Quantile Regression
Semiparametric Estimation
Artificial Intelligence
Elaf Bahaa Alwan
Omar Abdulmohsen Ali
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Publication Date
Thu Jun 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Bayes Analysis for the Scale Parameter of Gompertz Distribution
The Gompertz distribution
bayes estimation
the square error loss function
the exponential error loss function
توزيع Gompertz
معلمة القياس
تقدير بيز
دالة الخسارة التربيعية
ودالة الخسارة الاسية
Jinan
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In this paper, we investigate the behavior of the bayes estimators, for the scale parameter of the Gompertz distribution under two different loss functions such as, the squared error loss function, the exponential loss function (proposed), based different double prior distributions represented as erlang with inverse levy prior, erlang with non-informative prior, inverse levy with non-informative prior and erlang with chi-square prior.

The simulation method was fulfilled to obtain the results, including the estimated values and the mean square error (MSE) for the scale parameter of the Gompertz distribution, for different cases for the scale parameter of the Gompertz distr

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Publication Date
Sun Feb 01 2015
Journal Name
Journal Of Economics And Administrative Sciences
Climate change and dust storms in Iraq / 'Baghdad', case study
الغبار العالق - الغبار المتصاعد -العاصفة الغبارية -التغير المناخي -القيم المفقودة - القيم الشاذة المتعددة - نماذج انحدار
Suspended dust
rising dust
dust storm
climate change
missing values
multiple outliers
regression models
فاطمة جاسم
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A dust storm in Iraq is a climatic phenomenon common in arid and semi-arid regions . The frequency of the occurrence has increased drastically in the last decade and it is increasing continuously .Baghdad city like the rest of Iraq is suffering from the significant increase in dust storms . In this research , the study of the phenomenon of dust storms for all types (Suspended dust , rising dust , dust storm) , and its relationship with some climate variables (Temperature , rainfall ,wind speed) .The statement of the impact of climate change on this phenomenon to Baghdad station  for the period (1981 – 2012) . Time series has been addressing the phenomenon of storms and cli

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Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Under Different Priors &Two Loss Functions To Compare Bayes Estimators With Some of Classical Estimators For the Parameter of Exponential Distribution
التوزيع الآسي
طريقة الإمكان الأعظم
طريقة العزوم
طريقة بيز
متوسط مربع الأخطاء (MSE)
متوسط مربع الأخطاء الموزونة (MWSE).
The Exponential
Maximum likelihood method
Moment estimation method
Bayes method
mean squared errors (MSE)
mean weighted squared errors (MWSE).
Jinan Abbas
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المستخلص:

          في هذا البحث , استعملنا طرائق مختلفة لتقدير معلمة القياس للتوزيع الاسي كمقدر الإمكان الأعظم ومقدر العزوم ومقدر بيز في ستة أنواع مختلفة عندما يكون التوزيع الأولي لمعلمة القياس : توزيع لافي  (Levy) وتوزيع كامبل من النوع الثاني وتوزيع معكوس مربع كاي وتوزيع معكوس كاما وتوزيع غير الملائم (Improper) وتوزيع

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Publication Date
Sat May 31 2025
Journal Name
3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges
Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies
With the advent of technology
the fear of losing control has consistently accompanied humanity. While humans have discovered
invented
and created many remarkable things
they have also been haunted by the possibility of their creations turning against them. This fear
often referred to as the Frankenstein Complex
derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)
in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works
including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI
which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson
a robotics expert
uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots
the concept of the New War
how it was fought
and how it concluded. By comparing
contrasting
and analyzing literary elements and devices with prominent conspiracy theories
the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth
they often inspire scientists to explore them further. Additionally
some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.
Ansam
Mayada
Zahraa
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