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.
Capitolo o saggio
Bounded continuous responses; Comprehensive archive network; Flex reg package; Regression models; Univariate bounded responses;
English
Data Analysis and Related Applications 1 - Computational, Algorithmic and Applied Economic Data Analysis
Zafeiris, KN; Skiadas, CH; Dimotikalis, Y; Karagrigoriou, A; Karagrigoriou-Vonta, C
24-ago-2022
2022
9781786307712
Wiley
99
113
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/389901
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