Volume 9 Issue 2
Published: 2009-12-01
Contents
Article
Multiple Regression Model Selection by Information Criteria
Zakaria Y. AL-Jammal
In this paper, I considered the problem of selection a model from a collection of candidate models specified by multiple linear regression model. Two criteria are used and compared, they are Akaike...
DOI: 10.33899/iqjoss.2009.030581
Bayes Estimator of one parameter Gamma distribution under Quadratic and LINEX Loss Function
Wael Abdul Lateef Jasim
In this paper we derive Bayes' estimator for the Scale parameter in Gamma distribution when is known and equal 2, i.e. , we take to estimate one parameter of gamma distribution which is (Scale...
DOI: 10.33899/iqjoss.2009.030586
A Suggested Algorithm for the Selection of Initial Centers of Clusters
باسل يونس ذنون
In this research, we suggest an algorithm to select the initial centers of clusters; this algorithm includes the selection of features of different attributes as an initial center of each cluster....
DOI: 10.33899/iqjoss.2009.030531
Fuzziness in linear programming with application
افتخار عبدالحميد النقاش
With regard to the difficulty and the big role that is made to reach the optimal solution of the institutions and factories system processing through the perfect or alternative decision making...
DOI: 10.33899/iqjoss.2009.030535
Estimation of Weibull Distribution Parameters
ميسون مال الله عزيز
This paper is concerned with the estimation of the parameters of Weibull distribution whose density function is given by Samples for each of the different sample sizes were simulated 1000 times...
DOI: 10.33899/iqjoss.2009.030540
Estimation of Parameter for Gibbs Random Distribution which is used in Image Processing
بان احمد حسن متراس
In this research, the parameter was estimated for Gibbs random distribution using different energy functions. We get the first algorithm by adding noise to the image and restore it by filters. We...
DOI: 10.33899/iqjoss.2009.030543
Using The Probabilistic Fractal Dimension to Decide if a Time Series is Chaotic
ميسون مال الله عزيز
In this paper, we use several ways to distinguish between the deterministic time series and stochastic white noise by using correlation exponent test and the BDS test ( Brock Deckert Scheinkman )...
DOI: 10.33899/iqjoss.2009.030548
Pattern Matching Fuzzy Models for Time series Forecasting with Application
فاضل عباس الطائي
We study a new technique of forecasting time series , this is technique is pattern matching Fuzzy, which identify past relationships and its trends in historical data for forecasting future values...
DOI: 10.33899/iqjoss.2009.030551
The Use of Robust Criteria in Selecting Effective Variables in Linear Regression Model for Blood Sugar Analogy
صباح حسيب حسن
The research deals with the topic of variable selection in linear regression using robust procedures as resistant to outliers and other failures of assumptions . The objective of the research is...
DOI: 10.33899/iqjoss.2009.030554
An Algorithm Proposed to Find an Optimal Solution in Nonlinear Integer Programming
نعم عبد المنعم عبد المجيد
This paper proposed a new algorithm for solving a nonlinear integer programming for human resources allocation problem to find an optimal solution. It has been concluded that this algorithm is...
DOI: 10.33899/iqjoss.2009.030558
The Application of Fuzzy Logic to the Modeling of product Density for Children Ready-Made Clothes
رنا وليد بهنام هندوش
The main objective of this research is to design a program model for a new product density estimation by implementing fuzzy logic techniques. This model is designed depending upon some of the...
DOI: 10.33899/iqjoss.2009.030561
Specification of the Conditional Expectation by Simple Linear Regression Model For Binomial Distribution Conditioned with Varying Sample Size.
هيثم طه اليوسف
In this research, we consider the study of conditional expectation and it's relationship with regression model. The conditional expectation has a linear form which is specified as a simple linear...
DOI: 10.33899/iqjoss.2009.030564
Employment Bootstrapping Approach to Finding New Ratio Estimators in Simple Random Sampling
سيف الدين ضياء الدين سعيد
This research boils down to find new ratio estimators instead of estimators of (Kadilar and Cingi ;2004) by replacing the regression parameter of the final estimators, which is estimated by...
DOI: 10.33899/iqjoss.2009.030570
Modified Robust M-approach to estimate the parameters of linear Regression model
صالح مؤيد شاكر
The idea of this research is to find construction Weighted Robust for the estimate parameters of the linear regression model by blend Robust M- approach and Weighted Least Squares method to handle...
DOI: 10.33899/iqjoss.2009.030574
