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jeasiq-2050
Using Kernel Density Estimator To Determine the Limits of Multivariate Control Charts.
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Quality control is an effective statistical tool in the field of controlling the productivity to monitor and confirm the manufactured products to the standard qualities and the certified criteria for some products and services and its main purpose is to cope with the production and industrial development in the business and competitive market. Quality control charts are used to monitor the qualitative properties of the production procedures in addition to detecting the abnormal deviations in the production procedure. The multivariate Kernel Density Estimator control charts method was used which is one of the nonparametric methods that doesn’t require any assumptions regarding the distribution of the data or determine the control limits in monitoring the production procedure when the data doesn’t follow the normal distribution or has an unknown distribution. The aim of this paper is to monitor the production procedure throughout a number of variables simultaneously to reflect the quality of the produced material. Simulation experiments were used with deferent significance levels to illustrate the way in which the multivariate Kernel Density Estimator charts method work while adopting the average range length criterion to demonstrate the performance and efficiency of the used methods. The results show that the method of nonparametric Kernel Density Estimator charts for the Gaussian Kernel had a good performance especially at significance levels with long-range

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Publication Date
Sun Nov 01 2020
Journal Name
Solid State Technology
Access Control Security Review: Concepts and Models
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Publication Date
Sun Oct 03 2010
Journal Name
Journal Of Educational And Psychological Researches
قلق المستقبل عند الشباب وعلاقته ببعض المتغيرات
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At the present time, human lives in a changable world. Complexity of life effects human who became unable to achieve his goals. For him, goals are no longer able to provide him with calm and psychological safty. Anxiety about indefinite future and any changes which transend his ablity to cooperate with affeets his life in general aspeets.

     All these things bring him a very sever tention, then he becomes extremace in his cooperation with these situations. He tends to live a lone in order to be a way from sequenees of changes. Starting from this urgent point, future compnses the core in youth's life, then so many theories and studies affirm this point, and the necessity for mahing sc

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Publication Date
Wed Apr 01 2009
Journal Name
Journal Of Educational And Psychological Researches
تطور مفهوم ألذات وعلاقته ببعض المتغيرات العقلية
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تظهر اهمية مفهوم ألذات من حيث انه احد دوافع الفرد الداخلية التي لها تأثير معين على التحصيل الدراسي لدى التلاميذ وعلى تكيفهم مع بيئتهم التربوية أثناء الدراسة، لذلك فان معرفة كيفية قياس مفهوم ألذات وأدراك الفرد لذاته تساعد في عملية تقويم الفرد من حيث قدرته على التكييف وثقته بنفسه كما تفيد في التخطيط عن طريق وضع برامج تساعده في زيادة مفهوم ذاته عن نفسه.

ومما لاشك فيه ان مرحلة الطفولة لها اهمية

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Publication Date
Fri Jan 22 2021
Journal Name
International Journal Of Agricultural & Statistical Sciences
EFFECT OF GROWING MEDIA, NUTRIENT SOLUTION AND CONTROL OF FLOWERING ON THE PRODUCTIVITY OF THE CUCUMBER CULTIVATED BY THE SOILLESS CULTURE.
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Publication Date
Thu Mar 01 2007
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة الأساليب المستخدمة في تحديد عدد المركبات الرئيسية مع التطبيق العملي
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The principal components analysis is used in analyzing many economic and social phenomena; and one of them is related to a large group in our society who are the university instructors. This phenomenon is the delay occurred in getting university instructor to his next scientific title. And as the determination of the principal components number inside the principal components depends on using many methods, we have compared between three of these methods that are: (BARTLETT, SCREE DIAGRAM, JOLLIFFE).

     We concluded that JOLLIFFE method was the best one in analyzing the studying phenomenon data among these three methods, we found the most distinguishing factors effecting on t

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Publication Date
Tue Feb 01 2022
Journal Name
International Journal Of Nanoscience
Study of the Transition State of SnO<sub>2</sub> Cluster with NO<sub>2</sub> Gas Molecule via Density Functional Theory
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Density functional theory (DFT) with B3LYP level and 6-311G[Formula: see text] basis sets for light atoms like N and O and SDD basis sets for heavy atoms like Sn is used to examine the interaction of tin dioxide nanocrystals with nitrogen dioxide as a function of temperature from 273[Formula: see text]K to 373[Formula: see text]K through a Gaussian 09W software program. Gibbs free energy, enthalpy, and entropy of activation and reaction are calculated. The situation of transition of SnO2 clusters toward nitrogen dioxide is investigated. According to the findings, the activation energy of SnO2 clusters with nitrogen dioxide increases as the temperature rises (in negative value). Gauss view 0

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Publication Date
Tue Oct 15 2024
Journal Name
Mongolian Journal Of Chemistry
Using activated and modified adsorbent surfaces from banana peels to remove the green Janus dye:
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In order for the process of removing pollutants, including dyes, from the aquatic environment to be effective, plant wastes such as banana peels were used as adsorbent surfaces by thermally activating them (ABP) and modifying them with iron oxide nanoparticles (MABP), which were characterized using Fourier transform infrared (FT-IR) and X-ray diffraction (XRD) techniques. They were applied in the field of Janus green (JG) dye adsorption for the batch system and studied the effect of several factors (adsorbent weight, contact time, initial concentration, and temperature). Their data were analyzed kinetically using first- and second-order kinetic models and they were found to follow the second order. Their data were also analyzed thro

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Publication Date
Sat Dec 21 2024
Journal Name
Edelweiss Applied Science And Technology
Using count regression models to investigate the most important economic factors affecting divorce in Iraq
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The two most popular models inwell-known count regression models are Poisson and negative binomial regression models. Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. Negative binomial regression is similar to regular multiple regression except that the dependent (Y) variables an observed count that follows the negative binomial distribution. This research studies some factors affecting divorce using Poisson and negative binomial regression models. The factors are unemplo

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Publication Date
Tue Oct 15 2024
Journal Name
Mongolian Journal Of Chemistry
Using activated and modified adsorbent surfaces from banana peels to remove the green Janus dye:
...Show More Authors

In order for the process of removing pollutants, including dyes, from the aquatic environment to be effective, plant wastes such as banana peels were used as adsorbent surfaces by thermally activating them (ABP) and modifying them with iron oxide nanoparticles (MABP), which were characterized using Fourier transform infrared (FT-IR) and X-ray diffraction (XRD) techniques. They were applied in the field of Janus green (JG) dye adsorption for the batch system and studied the effect of several factors (adsorbent weight, contact time, initial concentration, and temperature). Their data were analyzed kinetically using first- and second-order kinetic models and they were found to follow the second order. Their data were also analyzed thro

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Publication Date
Fri Nov 29 2019
Journal Name
Iraqi Journal Of Physics
Study of Charge Density Distributions and Elastic Electron Scattering Cross Sections for some Stable Nuclei
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