Volume 19 Issue 1
Published: 2022-06-01
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...
DOI: 10.33899/iqjoss.2022.0174327
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...
DOI: 10.33899/iqjoss.2022.0174328
Comparison of prediction using Matching Pattern and state space models.
heyam 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...
DOI: 10.33899/iqjoss.2022.0174329
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...
DOI: 10.33899/iqjoss.2022.0174330
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....
DOI: 10.33899/iqjoss.2022.0174332
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...
DOI: 10.33899/iqjoss.2022.0174333
Detection of outliers in the linear regression model with application to well water pollution data on the outskirts of the city of Mosul
Saja M. Ismail, Safwan Nathem Rashed
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...
DOI: 10.33899/iqjoss.2022.0174334
Review Paper
Shrinkage estimators in inverse Gaussian regression model: Subject review.
Farah Abd ulghani, Rafal Al-Hamdani
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....
DOI: 10.33899/iqjoss.2022.0174331
Treatment of time series instability - review article-
Alla abd alsatar, Nada Nazar Alobaidi, 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...
DOI: 10.33899/iqjoss.2022.0174335
