Volume 17 Issue 2
Published: 2020-12-01
Contents
Research Paper
.Solving a Travelling salesman problem with heuristic model approach and comparing with AMPL Solution.
Govind. S. Sharma, Amitesh. kumar
The paper will focus on the two strategies to take care of the TSP issue of a book shop. The TSP issue arrangement finds the ideal course which advances the course and cost. The paper shows the...
DOI: 10.33899/iqjoss.2020.0182153
Some wavelet filters to estimate non-parametric GAM models with application and simulation.
Alaa Hamoodat, Bashar AL-Talib
This study shed light on the method of estimating the GAM based on Smoothing splines repetitive graders . The Wavelet Shrinkage method was used as a paving of data when estimating the GAM by using...
DOI: 10.33899/iqjoss.2020.0167385
Gene selection in cox regression model based on a new adaptive elastic net penalty.
Zakariya Algamal, Oday Alskal
Regression analysis is great of interest in several studies, especially in medicine. The Cox regression model is one of the most important models of regression used in the medical field. It is the...
DOI: 10.33899/iqjoss.2020.0167386
Generalized ridge estimator shrinkage estimation based on particle swarm optimization algorithm.
Qamar Abdul kareem, Zakariya Algamal
It is well-known that in the presence of multicollinearity, the ridge estimator is an alternative to the ordinary least square (OLS) estimator. Generalized ridge estimator (GRE) is an...
DOI: 10.33899/iqjoss.2020.0167387
Parameters estimation of homogeneous gamma process via intelligence techniques.
Ibtehaj Algasoo, Shaimaa Mahmood, Ghalya Tawfeek Basheer
Recently, the Gamma process has been increasing used to model stochastic deterioration for optimizing maintenance because are well suited for modeling the temporal variability of deterioration. In...
DOI: 10.33899/iqjoss.2020.0167388
Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization.
Zinah Basheer, Zakariya Algamal
In the context of Nadaraya-Watson kernel nonparametric regression, the curve estimation is fully depending on the smoothing parameter. At this point, the nature-inspired algorithms can be used as...
DOI: 10.33899/iqjoss.2020.0167389
Using ridge regression to analysis the meteorological data in sulaimani.
Layla Ahmed
Linear regression is one of the frequently used statistical methods that have applications in all field of daily life. In a statistical perspective, the regression analysis is used for studying the...
DOI: 10.33899/iqjoss.2020.0167390
Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models.
Cheman Omar, Taha Ali, Kamaran ahmed
In this research, it was suggested to use the InformativeBayes method in calculating the Bayes weights and use them to treat the of heterogeneity problem when estimating the linear regression model...
DOI: 10.33899/iqjoss.2020.0167391
Use the k nearest neighbor(KNN) to compare the classification of real age and age through the bone for thalassic patients.
Omar Al-rawi
Thalassemia is considered a chronic disease, especially children from the first years of life, and the patient goes through stages over long periods, Data were collected for patients by real age...
DOI: 10.33899/iqjoss.2020.0167392
Employment the black box models to forecast the central bank’s foreign currency sales.
Afrah Hassan, Najlaa Saad Ibrahim
The research is aims to forecasting multi-variable time series using black box models that link the input series with the output series with a mathematical model as it includes two types of models,...
DOI: 10.33899/iqjoss.2020.0167393
A comparison among robust estimation methods for structural equations modeling with ordinal categorical variables.
Omar ALheialy, Mohammed Mohammed
Categorical and ordered variables are commonly used in many scientific researches. Researchers often use the ML method, which assumes a multivariate normal distribution, and this is not true with...
DOI: 10.33899/iqjoss.2020.0167418
