Volume 8 Issue 1
Published: 2025-06-25
Contents
Article
Extract Hidden Information in Digital Images
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One of the Problems of image processing is that there is plenty of hidden information among the gray levels of these images. In this research the histogram technique is widely used for image...
On the Discrimination between the Inverse Gaussian and Lognormal Distributions
Zakaria Y. AL-Jammal
Both inverse Gaussian and lognormal distributions have been used among many well-known failure time distributions with positively skewed data. The problem of selecting between them is considered....
State Space Models Employment and Principle Components Approach to Estimate the Delay Time
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This research deals with a state space models and principle components analysis approach to estimate the delay time in linear stochastic dynamical systems. The delay time has a statistical...
The Calculation of average of measurements newly born babies using Bayes estimates depending on prior distribution of standard information
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In this paper calculation of averages of measurements of newly born baby are obtained; namely, the weight , height ,size circumference of head, chest , and arm; through which the health of the baby...
Using the Genetic Algorithm to Maximize the Likelihood Function of Normal Distribution
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In this research, the genetic algorithm (GA) has been carried out. This application is considered to be a manufacturing treatment to find the value which maximizes the likelihood function . An...
A comparative study between Classical Numerical Methods and Monte Carlo Methods
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Recently, there is a great interest in the methods of Monte Carlo used for the treatment of different technical and scientific issues. This research deals with using the Monte Carlo methods in...
MINIMUM COST QUALITY CONTROL TESTS
Bassim Mansour,
An expected cost model of a process whose mean is con-trolled by an chart is developed. Tow- stage numerical procedure is used to calculate the sample size, the number of units produced between...
On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler
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This paper tackles the estimation of parameters of linear mixed random effect oneclassification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte...
Revised model for radial Basis Function
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In this paper , a revised model for radial basis function has been done with application of sunspot time series. It has been arrived at a revised model for nonlinear time series. The probability...
Qualified Genetic Algorithms for Images Smoothing
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Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain. The first genetic algorithm uses...
Using Network Sampling for estimating the Diffusion of Thalassemia Disease
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This paper used the technique of Network Sampling for estimating the diffusion of a hevidetary disease of Mediterranean (Thalassemia) in Tala'fur city, and a comparison of the efficiency of this...
Employing Kruskal's method for assignment problem
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The Assignment problem is really considered really very important, which assigns a set of n distinct jobs to n machines such that, the total cost is minimum. The problem is solved by many methods,...
New CG Method for Large-Scale Unconstrained Optimization Based on Nazareth theorem
Khalil . K. Abbo
In this paper we present new conjugate gradient method for computing the minimum value of differentiable real valued function in n variables ,this method derived from Nazareth theorem , which uses...
Optimum Constant Smoothing for Exponential Smoothing Model with Application
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In this paper, we study methods to obtain the constant smoothing of exponential smoothing model and suggest another method, to obtain constant smoothing of dependent (two estimation New and old...
On the Discrimination between the Inverse Gaussian and Lognormal Distributions
Zakaria Y. AL-Jammal
Both inverse Gaussian and lognormal distributions have been used among many well-known failure time distributions with positively skewed data. The problem of selecting between them is considered....
