Ordinal logistic regression

In an era where system needs exceed available funding across all infrastructure components, planners and decision makers need tools to make informed decisions about the value of assets, such as accurate models to predict pavement condition over time. This prediction is essential…

The purpose of this study is to compare the performance of the Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN) models when analyzing ordinal data using different scenarios by varying the combinations of the marginal probability distributions and correlation…

There has been a lack of unanimity among researchers about the causality of economic growth that has led to calls for pragmatic models. Consequently, the purpose of this study was to examine the feasibility of the ordinal logistic regression model (OLRM) for an empirical economi…