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Probabilistic Inventory Models With Pareto Distribution
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Inventory or inventories are stocks of goods being held for future use or sale. The demand for a product in is the number of units that will need to be removed from inventory for use or sale during a specific period. If the demand for future periods can be predicted with considerable precision, it will be reasonable to use an inventory rule that assumes that all predictions will always be completely accurate. This is the case where we say that demand is deterministic.

The timing of an order can be periodic (placing an order every days) or perpetual (placing an order whenever the inventory declines to units).

in this research we discuss how to  formulating inventory model with probabilistic capital and area constraints with pareto distribution.

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Publication Date
Tue Jan 01 2019
Journal Name
Aip Conference Proceedings
Temperature dependence energy distribution function for proton-tritium fusion reaction
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The physical behavior for the energy distribution function (EDF) of the reactant particles depending upon the gases (fuel) temperature are completely described by a physical model covering the global formulas controlling the EDF profile. Results about the energy distribution for the reactant system indicate a standard EDF, in which it’s arrive a steady state form shape and intern lead to fix the optimum selected temperature.

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Publication Date
Fri Apr 12 2024
Journal Name
Revista Latinoamericana De Hipertension
Most common risk factors distribution for cervical cancer
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Publication Date
Thu Mar 03 2022
Journal Name
Italian Journal Of Pure And Applied Mathematics
The inverse exponential Rayleigh distribution and related concept
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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Estimating the reliability function of Kumaraswamy distribution data
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The aim of this study is to estimate the parameters and reliability function for kumaraswamy distribution of this two positive parameter  (a,b > 0), which is a continuous probability that has many characterstics with the beta distribution with extra advantages.

The shape of the function for this distribution and the most important characterstics are explained and estimated the two parameter (a,b) and the reliability function for this distribution by using the maximum likelihood method (MLE) and Bayes methods. simulation experiments are conducts to explain the behaviour of the estimation methods for different sizes depending on the mean squared error criterion the results show that the Bayes is bet

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Publication Date
Fri May 01 2020
Journal Name
Journal Of Physics: Conference Series
Bayesian Inference for Reliability Function of Gompertz Distribution
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Abstract<p>In this paper, some Bayes estimators of the reliability function of Gompertz distribution have been derived based on generalized weighted loss function. In order to get a best understanding of the behaviour of Bayesian estimators, a non-informative prior as well as an informative prior represented by exponential distribution is considered. Monte-Carlo simulation have been employed to compare the performance of different estimates for the reliability function of Gompertz distribution based on Integrated mean squared errors. It was found that Bayes estimators with exponential prior information under the generalized weighted loss function were generally better than the estimators based o</p> ... Show More
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Publication Date
Fri Jun 18 2004
Journal Name
Iraqi Journal Of Laser
Quantum Cryptography and a Quantum Key Distribution Protocol
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In this article, a short review on the feature of reality and locality in quantum optics is given.
The Bell inequality and the Bell states are introduced to show their direct use in quantum computer and
quantum teleportation. Moreover, quantum cryptography is discussed in some details regarding basic
ideas and practical considerations. In addition, a case study involving distillation of a quantum key based
on the given fundamentals is presented and discussed.

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Publication Date
Fri Jun 04 2021
Journal Name
Journal Of Interdisciplinary Mathematics
Employ shrinkage technique during estimate normal distribution mean
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Publication Date
Sun Sep 25 2022
Journal Name
Lubricants
Development of Hybrid Intelligent Models for Prediction Machining Performance Measure in End Milling of Ti6Al4V Alloy with PVD Coated Tool under Dry Cutting Conditions
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Ti6Al4V alloy is widely used in aerospace and medical applications. It is classified as a difficult to machine material due to its low thermal conductivity and high chemical reactivity. In this study, hybrid intelligent models have been developed to predict surface roughness when end milling Ti6Al4V alloy with a Physical Vapor Deposition PVD coated tool under dry cutting conditions. Back propagation neural network (BPNN) has been hybridized with two heuristic optimization techniques, namely: gravitational search algorithm (GSA) and genetic algorithm (GA). Taguchi method was used with an L27 orthogonal array to generate 27 experiment runs. Design expert software was used to do analysis of variances (ANOVA). The experimental data were

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Publication Date
Wed Nov 21 2012
Journal Name
The Fourth International Scientific Conference Of Arab Statisticians
ﻤﻘﺎﺭﻨﺔ ﺒﻴﻥ نماذج ﺍﻻﻨﺤﺩﺍﺭ ﻭﺍﻟﺸﺒﻜﺎﺕ ﺍﻟﻌﺼﺒﻴﺔ ﺍﻻﺼﻁﻨﺎﻋﻴﺔ ﻓﻲ ﺍﻟﺘﻨﺒﺅ
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The Regression analysis is considered as a basic element of statistics science elements, and it is an important style of applied statistics when studying different social and economical phenomena. As well as it is considered the most statistical method used in different sciences and fields, and it determines in clear picture the relations among the variables in the form of equation replaced from the degree of parametric on the strength and the importance of this relationship .And ;also it repots the degree of prediction and response ;also ,it is necessary in regression planning and making decisions for finding regression equation .And it is one of modern styles which tak observable caring especially in artificial neural networks. Our main

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Publication Date
Fri Dec 01 2023
Journal Name
قضايا سياسية
الوعي الطبقي في الفكر السياسي الماركسي الحديث( نماذج مختارة)
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مثل الوعي الطبقي اعلى مراحله لدى الفكر الماركسي الحديث عند كل من ماركس وانجلز ولينين ليس مجرد انعكاس للواقع وانما يكون بصورة جدلية من خلال انعكاس الوعي على الواقع واعادة انتاجه فبعد ان كان الوعي هو نتاج تطور الواقع اصبح اداة في تطوير الواقع، أي تأثير البنى الفوقية على البنى التحتية( المادية التاريخية) بعكس ما دعى اليه ماركس، اذ أعطى لينين للوعي دوراً كبيرا في التطور التاريخي، وعد الوعي الطبقي هو الاداة التي

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