Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Abstract: This paper studies the discriminant modeling method for the constrained data. We propose the multinomial logit partial least squares (ML-PLS) regression of compositional data by implementing ...

In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable ...