Volume 10 Issue 2
Published: 2025-06-25
Contents
Article
Fuzzy Logic of Non-Stationary Time Series Models with an Application
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This research is dedicated to study non-stationary time series , and the ability of using fuzzy logic in order to improve forecasting. The non-stationary time series (Mixed autoregressive and...
Using Clustering for Modeling Monthly Salary Grade
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Clustering is considered as one of the most scientifical developments which the scientists reached at in the field of recent knowledge and technologies to discover the cluster's group. The...
Estimation of State Space Models by using Ridge Regression Technique with Application
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In this paper many state space models are fitted. The statistical criteria used to choose the best estimated model whose parameters estimated by the Ridge regression method. This method can be used...
On some Ratio and Regression Estimators for the Finite Population Variance in Two Phase Sampling
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In this paper, we propose a number of families of estimators of ratio and regression to estimate the population variance using auxiliary information in two phase sampling, the bias and the mean...
An Improvement Single Exponential Smoothing Method for Forecasting in Time Series
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In this paper we describe single exponential smoothing method, which is used in time series forecasting, and suggest an improving to the single exponential smoothing method through adding the mean...
A Modified Super-linear QN-Algorithm for Unconstrained Optimization
Abbas Y. AL-Bayati, Ivan Subhi Latif
In this paper, we have proposed a modified QN-algorithm for solving a self-scaling large scale unconstrained optimization problems based on a new QN-update. The performance of the proposed...
Solving Quadratic Programming Problem Using Van De Panne Method Under Fuzzy Environment
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In this paper, the solution of Symmetric Fuzzy Quadratic programming is considered by using fuzzy values with special Phases of Van De method , For the founded model ,we use the Kuhn Tucker...
Re-sampling in Linear Regression Model Using Jackknife and Bootstrap
Zakariya Y. Algamal, Khairy B. Rasheed
Statistical inference is based generally on some estimates that are functions of the data. Resampling methods offer strategies to estimate or approximate the sampling distribution of a statistic....
A Comparison between the Distinctive Function and Fuzzy Logic in the Control of Carbonated Beverages
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The need for control systems exists in many fields, such as, medicine, economics, engineering, agriculture, etc., as a result of the rapid progress in science and technology in all fields which...
Markov Chain Order Estimation to the Weather State of Mosul City by Using Backpropagation Network
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The operation of order estimation of a Markov chain to represent the observation chain is an important problem in realistic applications. One method of order estimation depending on intelligence...
Improving Karmarkar's method for optimal solution
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In this paper we improve the Karmarkar's method for linear programming by using the vector of initial point with all iteration, and when , we see that the Karmaker's method can be reduced to a...
A Computer Algorithm to Solve the Issue of the Shortest Path
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This research aims to finding the shortest path between two Centers S and T which are connected by a network of roads of certain length and certain material or time costs, (as the word Centre could...
Dealing with the Contamination and Heterosedasticity Proplems In the CRD by Using the Wavelet Filter
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This paper deals with the proplems of contamination and heteroscedasticity , by using a method (the Direct Wavelet Filter that used which some method of thresholding) and comparing it with some...
Discriminate analysis and it’s application as a classification method
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More than three years of measurements of aerosol size-distribution and different gas and meteorological parameters made in a specific region were analyzed for this study to examine which of the...
USING THE GRAPH THEORY TO SOLVE TIMETABLING PROBLEM & APPLICATION FOR REGULATING LECTURES TABLE
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In this brief research we use graph theory, which is considered as one of the theories of Operations Research, we give a brief account of what this theory and its subsidiaries and their importance,...
Bayesian Classifier for a Gaussian Distribution, Decision Surface Equation, with Application
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Bayesian decision theory is a fundamental statistical approach to the problem of classification as for pattern recognition. It makes the assumption that the decision problem is posed in...
Analysis and Modeling Time Series of Water Flow into Mosul City A Comparative Study
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This paper presents fits for neural network model , and comparative resulting forecasts with those obtained from Box-Jenkins Method. We use time series data of Tigris's monthly flow into Mosul city...
