Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.
Eda Selin Ilikkan, Elif Yildirim
In this paper: Real life data cannot fit to the commonly known statistical model structures and therefore, different new models are needed in the modeling of this type of data. In this paper, we propose a new lifeti...
Whatmore Sengweni, Broderick Oluyede, Kethamile Rannona
In this paper: The development and application of a new family of distributions is of tremendous practical importance. In this note, a new distribution called the exponentiated Half-Logistic-Type II Topp-Leone-G (EH...
Sanaa M. El-Gayar, Amani A. Ahmed, Mahmoud A. Mahmoud
In this paper: In this study, adaptive one-step generalized M-estimators for the regression parameters of the linear regression model are derived. The proposed estimators are developed assuming the exponential power...
Mervat Mahdy, Basma Ahmed, Muhammad Aslam
In this paper: In this article, we investigate three modern probability models for lifetime random variables: elicitation inverse Rayleigh (EIR), generalized inverse weibull (GIW) and Weighted generalized inverse We...
Constantinos T. Artikis, Panagiotis T. Artikis
In this paper: Bernoulli selection processes and power contractions constitute two classes of probabilistic concepts of theoretical and practical importance. The paper’s theoretical contribution consists of the deve...
Aseel Almansour
In this paper: The COVID-19 pandemic has imposed substantial challenges globally, and many have voiced their thoughts on social media about the unfolding crisis. This study performed a sentiment analysis (SA) on Twi...
Thomas Katsekpor, Kwabena Doku-Amponsah
In this paper: We define the empirical positives measure as a stochastic measure that quantifies the number of infections in a Bernoulli sample. Similarly, we define the empirical pool measure as a stochastic measur...
Mohammed Abdul Ridha Al-Bojmal, Ramin Imany-Nabiyyi
In this paper: In this article, we will use randomly censored data and to discuss both Bayesian and classical methods to the estimating parameters the inverse Pareto distribution (IPD). We derive the Bayes and maxim...
Walaa Jabbar Al-Obaidi, Ramin Imany-Nabiyyi
In this paper: In this article, several fuzzy flexible distributions are used to model fuzzy income data, and then we estimate the upper and lower bounds of the Gini coefficient. Estimates are obtained using the max...
Kiran S. Pawar, Babasaheb J. Mohite
In this paper: Machine learning algorithms are essential in classification and regression because they might a significant outcome on the accuracy of the classifier. It decreases the total of features of the traffic...
Nikhil Kamble, Atharva Phatak, Aaryan Joshi, Rahul Adhao, Vinod Pachghare
In this paper: In data science, choosing the right machine learning algorithms is essential for getting the best possible predicted performance. To investigate the effectiveness of different machine learning algorit...
Ved S. Bilaskar, Shyam V. Aradhye, Snehal S. Shinde, Deepak D. Kshirsagar, Pushparaj R. Nimbalkar
In this paper: The expansion of the Industrial Internet of Things (IIoT) has led to advancements in various industries, but that has also exposed infrastructure which is critical to increasing cyber threats. In resp...
Md. Sohail, Kalpana S. Thakre
In this paper: Plagiarism is a pervasive challenge in academic and digital landscapes, necessitating effective detection mechanisms. This paper presents an innovative approach utilizing advanced NLP models, specific...
Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, P. Prabu, Muhammad Badruddin Khan
In this paper: The integration of Augmented Reality (AR), Virtual Reality (VR), and the Metaverse in the Learning Ecosystem represents an innovative approach to enhance educational opportunities, emotional well-bein...
Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, Vaibhav Bhatnagar
In this paper: Gold, a highly valued and sought-after asset, has long captured the interest of investors, financial analysts, and policymakers due to its historical significance. To predict future gold prices, this...
Vaibhav Bhatnagar, Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia
In this paper: Stochastic volatility analysis is a sophisticated method for forecasting gold prices, accounting for the fact that volatility which is the degree of variation in gold prices is not constant over time...
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