Kadhem Al-DaffaieAl-Muthanna University · Department of Banking and Financial Sciences, College of Administration and Economics
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Kadhem AL-Daffaie received his BSc and MSc Degrees in Statistics from Baghdad University, Iraq in 2008 and 2011, respectively. In 2019, he received his PhD degree in Statistics from the University of Southern Queensland, Australia. He is a lecturer at Al-Muthanna University, Iraq since 2011. His research interests involve: Applied Statistics, Human Gait Analysis, Statistical techniques for human gait analysis, Machine learning methods for forecasting & classification purposes in various field.
Dispatchable, reliable, and clean energy is essential for sustained economic growth and a better future. This study develops a novel technique of empirical wavelet transform (EWT) to reveal intrinsic patterns in daily gas consumption demand data and ultimately forecast the daily gas consumption demand patterns for the city of Melbourne, Australia,...
This research introduces an innovative alternative statistical methodology to improve the way of conducting human gait analysis using advanced foot pressure capture technology. The developed approach is more efficient than the most commonly used approaches in the field. It enables experts to achieve more accurate results. In addition, it requires l...
This paper considers the relationship between a binary response and a circular predictor. It develops the logistic regression model by employing the linear-circular regression approach. The maximum likelihood method is used to estimate the parameters. The Newton-Raphson numerical method is used to find the estimated values of the parameters. A data...
Neurodegenerative diseases (NDDs), such as Parkinson's disease (PD), Huntington's disease (HD) and amyotrophic lateral sclerosis (ALS), affect human gait because they produce degeneration in the structure of neurons in human body. An accurate approach is provided to classify NDD patients using gait dynamics. It is developed to extract the most repr...
Healthcare systems efficiency is a ratio of service delivery system outputs to inputs to achieve optimal strategy for decision makers. In this paper, we investigated the efficiency of Eastern Mediterranean health observatory systems. For this purpose, a data envelopment analysis model formulated to evaluate the efficiency of healthcare systems resp...
Domestic wastewater was treated by vertical flow constructed wetlands under different set-up designs and operation conditions. These conditions include different aggregate diameters, contact time, resting time, and chemical oxygen demand. The physical and chemical measurements of effluents were obtained. These measurements are Chemical oxygen deman...
I am looking for data sets that suit circular regression model, where both the dependent and the independent variable are circular.
Your response will be highly appreciated.