Volume 21 Issue 1
Published: 2024-06-01
Contents
Research Paper
Performance of Some Yang and Chang estimators in Logistic Regression Model.
James Olasunkanmi Oladapo, k. Ayinde K. Ayinde
In logistic regression models, the maximum likelihood (ML) method is always one of the commonly used to estimate the model parameters. However, unstable parameter estimates are obtained as a result...
DOI: 10.33899/iqjoss.2024.183228
The Implications of Discriminant Analysis Function in Classifying the Obesity of Childhood < 15 in Egypt “An Applied Study on the Data of EDHS 2015"
Mohamed Ahmed Elkhouli
In general, relatively few statistical studies have been published on the classification of obesity as a risk-based thinking in the childhood stage among the children <15 years old in Egypt....
DOI: 10.33899/iqjoss.2024.183229
Robust Weighted Least Squares Method using different schemes of M-estimators (RWLSM), A comparative Study
Fatima M. Selevany, Bashar Al-Talib
In this research, it was reducing or excluding the effect of not satisfying the assumption of normal distribution of the data, due to the presence of types of outlying values in it when we wish to...
DOI: 10.33899/iqjoss.2024.183230
Classification of Circular Mass of Breast Cancer Using Artificial Neural Network vs. Discriminant Analysis in Medical Image Processing
Karzan Faidhi Hamad, Bulent Celik, Rizgar Maghded Ahmed
In recent years, there has been a notable increase in interest regarding intelligent classification techniques rooted in Machine Learning within the domain of medical science. Specifically, machine...
DOI: 10.33899/iqjoss.2024.183231
Reliability Estimation of the Lomax Distribution under Ranked Set Sampling (RSS) With Application
Ban Al ani, Musa Mohammed Musa
Sometimes the researcher faces a problem in obtaining data, or there may be difficulty in obtaining it due to cost, effort, or other reasons related to the time. In this case, sampling methods are...
DOI: 10.33899/iqjoss.2024.0183232
A Parametric Regression Model using Power Chris-Jerry Distribution with Application to Censored Data
Christiana I. Ezeilo, Iheanyi S. Onyeagu, Uzoma E. Umeh
The interdependency of various areas of Statistics is gaining good attention in the literature. This is possible through innovations such as the log-transformation of distribution to a parametric...
DOI: 10.33899/iqjoss.2024.183249
Estimating the Transitional Probabilities of the E.Coli Gene Chain by Maximum Likelihood Method and Bayes Method
Muthanna Subhi Sulaiman, Alaa Farhan Ahmed
The transition matrix estimators of the Markov chain are not accurate and the transition matrix is considered given. There are many methods that are used to estimate the transition probabilities...
DOI: 10.33899/iqjoss.2024.183250
Improving generalized ridge estimator for the gamma regression model.
Avan Safar Elias Al-Saffar, Zakaria Y. Algamal
It has been consistently proven that the ridge estimator is an effective shrinking strategy for reducing the effects of multicollinearity. An effective model to use when the response variable is...
DOI: 10.33899/iqjoss.2024.183251
Study of Alpha Power Weibull Distribution with Application
mudrka hussin Aljumaily, Hayfa Abdul Jawad Saieed
The Gull Alpha power transform (GAPT) is a family which introduces a single additional parameter to classical continuous probability distribution.The parameter increases the flexibility of...
DOI: 10.33899/iqjoss.2024.183252
A Survey On E- Payment Systems
Shayma Shakeeb Mohammed, Yaseen Hikmat Ismael
significant impact on global trade in the modern era. This has given rise to a new industry known as "electronic commerce," or "E-commerce," which is the use of smart devices and the internet for...
DOI: 10.33899/iqjoss.2024.183253
Estimating the Parameters of Mixture Gamma Distributions Using Maximum Likelihood and Bayesian Method
Nagham Ibrahim Abdulla Najm, Raya Salim Al_Rassam
This paper focuses on the mixture Gamma distribution and uses the maximum likelihood and Bayesian techniques to estimate its parameters. This study uses Expectation Maximization Algorithm (EM) to...
DOI: 10.33899/iqjoss.2024.183254
Variable Selection In Logistic Regression Model Using Modified Firefly Algorithms
Heba Suleiman Dawood
Abstract: The logistic regression model is considered the most widely used in many applications, and it is one of the main models in the family of generalized linear models. Like other regression...
DOI: 10.33899/iqjoss.2024.183255
Construction of the Daubechies Wavelet Chart for Quality Control of the Single Value
Sakar Ali Jalal, Dlshad Mahmood Saleh, Bekhal Samad Sedeeq, Taha Hussein Ali
In this paper, it was proposed to create a new quality control chart for the single value of the Daubechies wavelet to address the problem of data contamination before creating the single value...
DOI: 10.33899/iqjoss.2024.183257
Classification of Diabetes Data Set from Iraq via Different Machine Learning Techniques
Dilshad Omar Altalabani, Fevzi Erdogan
Diabetes has become one of the most prevalent diseases in Iraq and is listed as one of the leading causes of death. Machine learning provides effective information extraction results by creating...
DOI: 10.33899/iqjoss.2024.183258
Improved Mixed Estimator Using Two Auxiliary Variables For Full Extreme Maximum And Minimum Values In Single Phase Sampling
Timothy O. Olatayo, Peter N. Madu, Peter I. Ogunyinka
The use of multiple auxiliary variables has been established to improve precision in the estimators of ratio, regression and product respectively. However, the presence of extreme values in the...
DOI: 10.33899/iqjoss.2024.0183259
