Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...

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 ...

Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process industry. Based on random forest, extreme gradient boosting, and artificial ...