Modeling bounded continuous responses, such as proportions and rates, is a relevant problem in methodological and applied statistics. This chapter provides a comprehensive review of these models and to briefly describe the FlexReg package, a newly available tool on Comprehensive R Archive Network that offers an efficient and easy to use implementation of regression models for bounded responses. Two real data applications are performed to show the relevance of correctly modeling the bounded response and to make comparisons between models. The chapter reviews the state of the art in flexible regression models for univariate bounded responses. Proportions, rates, or, more generally, phenomena defined on a restricted support often play the role of dependent variable in a regression framework. The "Stress" dataset, available from the FlexReg package, concerns a sample of non clinical women.
Di Brisco, A., Ascari, R., Migliorati, S., Ongaro, A. (2022). The State of the Art in Flexible Regression Models for Univariate Bounded Responses. In K.N. Zafeiris, C.H. Skiadas, Y. Dimotikalis, A. Karagrigoriou, C. Karagrigoriou-Vonta (a cura di), Data Analysis and Related Applications 1 - Computational, Algorithmic and Applied Economic Data Analysis (pp. 99-113). Wiley [10.1002/9781394165513.ch8].
The State of the Art in Flexible Regression Models for Univariate Bounded Responses
Ascari, R;Migliorati, S;Ongaro, A
2022
Abstract
Modeling bounded continuous responses, such as proportions and rates, is a relevant problem in methodological and applied statistics. This chapter provides a comprehensive review of these models and to briefly describe the FlexReg package, a newly available tool on Comprehensive R Archive Network that offers an efficient and easy to use implementation of regression models for bounded responses. Two real data applications are performed to show the relevance of correctly modeling the bounded response and to make comparisons between models. The chapter reviews the state of the art in flexible regression models for univariate bounded responses. Proportions, rates, or, more generally, phenomena defined on a restricted support often play the role of dependent variable in a regression framework. The "Stress" dataset, available from the FlexReg package, concerns a sample of non clinical women.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.