Volume 17 Issue 2
Published: 2025-06-25
Contents
Research Paper
Gene selection in cox regression model based on a new adaptive elastic net penalty.
Oday Alskal, Zakariya Yahya Algamal,
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...
Some wavelet filters to estimate non-parametric GAM models with application and simulation.
Alla abd alsatar, Bashar Abd Al-Aziz 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...
Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models.
Taha.H Ali, Cheman Omar, 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...
.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...
Employment the black box models to forecast the central bank’s foreign currency sales.
Najlaa Saad, Afrah Hassan,
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,...
Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization.
Zakariya Yahya Algamal, Zinah Basheer,
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...
Parameters estimation of homogeneous gamma process via intelligence techniques.
Shaimaa Mahmood, Ibtehaj Algasoo, 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...
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...
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...
Generalized ridge estimator shrinkage estimation based on particle swarm optimization algorithm.
Zakariya Yahya Algamal, Qamar Abdul kareem,
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...
A comparison among robust estimation methods for structural equations modeling with ordinal categorical variables.
Omar Ibraheem, Mohammed Jasim 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...
