Teenagers and young adults frequently rely on attention-grabbing pre-workout drinks to boost exercise performance, yet many ...

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...

Abstract: In this paper, we present multinomial latent logistic regression (MLLR), a new learning paradigm that introduces latent variables to logistic regression. By inheriting the advantages of ...

Abstract: Multinomial logistic regression (MLR) has been widely used in the field of face recognition, text classification, and so on. However, the standard multinomial logistic regression has not yet ...

Paper aims This paper addresses the influence of socioeconomic, quality, built environment, and safety variables on the demand for public transportation service. Originality This study covers a ...

This is a release of data and analysis scripts of the "Public Interest in Autonomous Vehicle Adoption: Evidence from the 2015, 2017, and 2019 Puget Sound Travel Surveys" paper published in Journal of ...

It is essential in a standard linear regression analysis that dependent variables are continuous. However, using the standard linear regression for the analysis of a double-level or multi-level ...

Enhancement: Multinomial logistic regression and ordinal regression Purpose: I think multinomial logistic regression would be an immensely useful addition, as logistic regression outputs are often non ...