Volume 8 Issue 1
Published: 2008-06-01
Contents
Article
A comparative study between Classical Numerical Methods and Monte Carlo Methods
باسل يونس ذنون
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...
DOI: 10.33899/iqjoss.2008.031512
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...
DOI: 10.33899/iqjoss.2008.031666
On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler
محمد نذير إسماعيل قاسم
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...
DOI: 10.33899/iqjoss.2008.031516
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....
DOI: 10.33899/iqjoss.2008.031670
Revised model for radial Basis Function
ميسون مال الله عزيز
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...
DOI: 10.33899/iqjoss.2008.031540
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...
DOI: 10.33899/iqjoss.2008.031676
Employing Kruskal's method for assignment problem
أحمد محمود السبعاوي
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,...
DOI: 10.33899/iqjoss.2008.031548
Qualified Genetic Algorithms for Images Smoothing
داليا عبد الله أنور
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...
DOI: 10.33899/iqjoss.2008.031554
Optimum Constant Smoothing for Exponential Smoothing Model with Application
فاضل عباس الطائي
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...
DOI: 10.33899/iqjoss.2008.031558
State Space Models Employment and Principle Components Approach to Estimate the Delay Time
هيام عبد المجيد حياوي
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...
DOI: 10.33899/iqjoss.2008.031567
Using Network Sampling for estimating the Diffusion of Thalassemia Disease
عدي عبدالرحمن جرجيس
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...
DOI: 10.33899/iqjoss.2008.031638
The Calculation of average of measurements newly born babies using Bayes estimates depending on prior distribution of standard information
بان غانم العاني
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...
DOI: 10.33899/iqjoss.2008.031640
Extract Hidden Information in Digital Images
ابراهيم احمد صالح
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...
DOI: 10.33899/iqjoss.2008.031646
Using the Genetic Algorithm to Maximize the Likelihood Function of Normal Distribution
همسة معن محمد ثابت
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...
DOI: 10.33899/iqjoss.2008.031651
