Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

The researchers reviewed how LLMs are being used currently as a technological tool and how they may be used in the future as ...

The objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures ...

The word "model" is used a lot in discussions about economics. However, economics courses often don’t spend a lot of time defining the word or what exactly it means. Rather, students usually end up ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The Tesla Model Y has been the most popular electric car for a few years now, and it makes sense. The Model Y is reasonably priced for an EV while offering a good range and an excellent software ...

Tesla single-handedly accelerated the automotive industry’s transition from combustion engines to fully electric vehicles, and its first mass-market EV, the Model S, played a big part in this.

Abstract: Image retrieval with fine-grained categories is an extremely challenging task due to the high intraclass variance and low interclass variance. Most previous works have focused on localizing ...