Volume 19 Issue 1
Published: 2025-06-25
Contents
Research Paper
Improving machine learning prediction using strawberry algorithm
Noora Hawa, Salih Muayad,
In this paper, the Support Vector Regression (SVR) model was used, which is defined as an algorithm or a linear model used to predict a specific model. The performance efficiency of the SVR method...
Generalized ratio-cum-product type exponential estimation of the population mean in median ranked set sampling.
Rikan .AL_Rahman, Saja Mohammad,
This study presents a proposal to estimate the finite population's mean of the main variable by median ranked set sampling MRSS through the generalized ratio-cum-product type exponential estimator....
Detection of outliers in the linear regression model with application to well water pollution data on the outskirts of the city of Mosul
Safwan Rashed, Saja M. Ismail,
The research idea is concerned with identifying the effect of outliers on the parameters of the multiple linear regression analysis models. Where the outliers values present in the data are...
Comparison of prediction using Matching Pattern and state space models.
Heyam Abd Al- majeed Hayawi, Najlaa Saad,
Predicting future behavior is one of the important topics in statistical sciences due to the need for it in different areas of life, and most countries rely on their development programs on...
Using Wavelet Shrinkage in the Cox Proportional Hazards Regression model (simulation study).
Taha.H Ali, Jwana Rostam Qadir,
The proposed method in this paper dealt with the problem of data contamination in the Cox Proportional Hazards Regression model (CPHRM) by using Wavelet Shrinkage to de-noise data, calculating the...
Spatial Prediction of Real Sulfur Data Using the Ordinary Kriging. Technique and Lognormal Kriging
Najlaa Sadeek,
This research deals with the spatial prediction process in order to obtain the optimal prediction when the data are distributed normally. In this paper, we used the ordinary kriging technique and...
Identification of Transformation Function Models for OPEC Crude Oil Prices.
Najlaa Saad, hashim huseen,
The transformation function model is one of the basic concepts in time series as it deals with multivariate time series. As for the design of this model, it depends on the data available in the...
Review Paper
Shrinkage estimators in inverse Gaussian regression model: Subject review.
Farah Abd ulghani, Rafal Adeeb Othman,
The presence of the high correlation among predictors in regression modeling has undesirable effects on the regression estimating. There are several available biased methods to overcome this issue....
Treatment of time series instability - review article-
Nada Nazar Alobaidi, Alla abd alsatar, Zainab Tawfeq,
the time series is a problem in econometric analysis as the statistical properties of series analysis are lost when using unstable time series. The research aims to present several methods for...
