This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

This repository contains an analysis of the Kaggle Machine Learning & Data Science Survey dataset, focusing on salary prediction using ordinal logistic regression and other classification models.

1 Department of Mobility and Infrastructure Planning and Management, College of Urban Development and Engineering, Ethiopian Civil Service University, Addis Ababa, Ethiopia 2 Faculty of Civil ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Objective In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below ...

Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...

ABSTRACT: The aim of this study is to evaluate factory workers’ job satisfaction in a man-ufacturing plant in Sri Lanka. A sample of 180 employees from a study population of 846 was taken. Stratified ...