Volume 20 Issue 2
Published: 2025-06-25
Contents
Research Paper
Theory-based Model Validation in the Generalized Multifactor Dimensionality Reduction Algorithm for Ordinal Phenotypes
Zaid Tarik Al-Khaledi, Mohammed Ibraheem Othman,
Clinical studies indicate a close relationship between some diseases and the presence of specific interactions between genetic factors. As is the case in many studies, revealing genetic...
Using Wavelet Shrinkage to Deal with Contamination Problem in Survival Function for Weibull Distribution
Bekhal Samad Sedeeq,
In this paper, the survival function of the Weibull distribution was estimated by the Classical Maximum Likelihood Estimate Method for the scale and shape parameters, and then the efficiency of the...
Modeling of Two-Meter Extreme Air Temperature in Iraq Using Extreme-Value Copulas
Zaid Tarik Al-Khaledi, Manaf Hazim AHMED,
The UN's International Organization for Migration (IOM) reported that Iraq is the fifth-most affected country by soaring temperatures. This requires assessing the risks associated by accurately...
Using Elastic-Net for High Dimensional Time Variables Selection of Autoregressive Model Series of Caenorhabditis Elegans Motion
Osamah Basheer Shukur, MOHAMMED KHAMES RASHEED,
The process of selecting statistical variables that contain information related to the effect on the dependent variable has a fundamental role in accurate statistical modeling. In time series and...
Comparing SVR and Random Forest Forecasting based on Autoregressive Time Series with Application
Zinah Mudher ALbazzaz, Naam Salem Fadhil,
The accuracy of forecasting the time series of relative humidity in its maximum and minimum cases is important for controlling environmental impacts, damages and risks. In this study, the support...
Enhancing the ARIMAX model by using the bivariate wavelet denoising: Application on road traffic accidents
nawroz mikaeel Ahmed, Qais Mustafa Abdulqader,
The purpose of this study is to determine whether an enhanced confound model representing bivariate wavelet-autoregressive integrated moving average with exogenous variable BWARIMAX is beneficial...
Employment of Hidden Markov Model in Determining the Quality of Nitrogenous Base Substituted of MT-ND5 gene Sequence in Humans and Mice
Muthanna Sulaiman, Sura Mohammed Jamal Alden,
Hidden Markov models were developed to analyze bioinformatics data that have attracted the attention of researchers because of their critical importance in the life of living organisms. The aim of...
Robustifying Cox - Regression Model Estimation Using M - estimators with application to breast cancer patients
Bashar Abd Al-Aziz Al-Talib, Salwa Salah Aldean Qassim Haidari,
This paper focused on estimating the survival time of real data for breast cancer patients in Nineveh province for the period between 2007- 2013. Robust estimation formulas were proposed and dealt...
New Approach to Approximating the Cumulative Function for the t-Distribution
Ahmad Najem AL-SHALLAWI,
The focus of this paper is to approximate the cumulative distribution function (CDF) of the t distribution, which represents a combined distribution of the normal distribution and gamma...
Analysis of Two Populations Dichotomous Data in Latent Variable Models Using Bayesian Approach
Thanoon Youns Thanoon, Robiah Adnan Adnan, Zarina Mohd Khalid,
In this paper, our main objective is to use a latent variable model and to propose a suitable model with features such as a nonlinear fixed covariates and latent variables based on different models...
The Comparison Between VAR and ARIMAX Time Series Models in Forecasting
Esraa Awni Haydier, Nasradeen Haj Salih Albarwari, Taha.H Ali,
The research presented a comparative study in time series analysis and forecasting using VAR models, which depend on the existence of a significant relationship between the studied variables, and...
A New Family Of Distributions: Exponential Power-X Family Of Distributions And Its Some Properties
Noorsl Ahmed ZEENALABIDEN, Buğra Buğra SARAÇOĞLU,
In this study, it has been aimed to introduce a new family called as Exponential Power-X family of distributions by using the method suggested by Alzaatreh et al. (2013). Exponential Power Weibull...
Combining Cluster Analysis with Multiple Linear Regression Analysis to Create the Most Accurate Prediction Model for Evaporation in the Kurdistan Region of
Bakhshan Ahmed Hamad,
This study aims to build a prediction model for the influential variables of evaporation in the Kurdistan region - Iraq, using the concept of regression and cluster analysis. The methods common...
Exponential Power-Chen Distribution and Its Some Properties
Noorsl Ahmed ZEENALABIDEN, Buğra Buğra SARAÇOĞLU,
In this study, it has been aimed to introduce a new statistical distribution called Exponential Power-Chen by using the method suggested by Alzaatreh et al. (2013). Some statistical properties such...
Using Time-Inhomogeneity Markov Chain For Testing Kidney Diseases Departures: Apply Study For Razgari Hospital in Erbil-Iraq
Mahdi Saber Raza,
Numerous research projects in many area concentrate on phenomena that develop over extended times rather than those that are only visible at particular discrete intervals in time. The mechanisms...
Extract Analytical Indicators for Covid 19 Disease Database
Ammar Thaher Yaseen Al Abd Alazeez, Hayfaa Hazem Al-Tai,
In this paper, real data was collected on people infected with the Covid-19 epidemic in the city of Mosul for the period from 1/11/2020 to 1/4/2021. Where the items of the patient's form...
Variable selection in Inverse Gaussian regression model using modified crow search algorithm
Rafal Adeeb Othman,
The inverse Gaussian regression model is one of the important models, which is widely used in many applications. The inverse Gaussian model is placed in tables of families of generalized linear...
Point and Interval Estimation of Stress-Strength Model for Exponentiated Inverse Rayleigh distribution
Raya Al-Rassam, Mohammed Ameen Oqbah,
This paper deals with finding a formula for the stress-strength reliability function for complete data when the strength (X) falls between the stress (T) and the stress (Z) ; where X,T,Z are...
Comparison of Logistic regression, Convolution Neural Network, and Kernel Approaches for Classifying the Caenorhabditis Elegans Motion
Osamah Basheer Shukur, Omar Akram Malaa,
Time series data are widely used in many fields including microbiology data. It is necessary to know how to classify the category to which observation belongs by using statistical classification...
Application of Elman Neural Network and SARIMA Model to Modeling Road Traffic Accident in the Kurdistan Region of Iraq
Saman Hussein Mahmood, Mryam Mohammed Ahmed,
Road traffic and deaths accidents are the most complex and dangerous system of all road systems that people deal with on a daily basis. In addition to the loss of life, there is also a lot of...
