Mingzhen Wan

Apr 1, 2024 | scirp.org | Wei Chen |Mingzhen Wan |Jiahui Xu |Jing Zhong

1. IntroductionIn many applications, such as the studies of financial and biomedical data, the response variable usually is positive. For modelling the relationship between the positive response and a set of explanatory variables, a natural idea is that first take an appropriate transformation for the response, e.g., the logarithmic transformation, then some common regression models, such as the linear regression or quantile regression, can be employed based on the transformed data.

Sep 27, 2023 | mdpi.com | Wei Chen |Mingzhen Wan

1. IntroductionIn many applications, such as studies on financial and biomedical data, the response variable is usually positive. For modeling the relationship between the positive response and a set of explanatory variables, the natural idea is to first take an appropriate transformation for the response, e.g., the logarithmic transformation, and then, some common regression models, such as linear regression or quantile regression, which can be employed based on the transformed data.