A collection of parametric modal regression models for bounded data
Modal regression is an alternative approach for investigating the relationship between the most likely response and covariates and can hence reveal important structure missed by usual regression methods. This paper provides a collection of parametric mode regression models for bounded response variable by considering some recently introduced probability distributions with bounded support along with the well-established Beta and Kumaraswamy distribution. The main properties of the distributions are highlighted and compared. An empirical comparison between the considered modal regression is demonstrated through the analysis of three data sets from health and social science. For reproducible research, the proposed models are freely available to users as an R package unitModalReg.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:31 |
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| Enthalten in: |
Journal of biopharmaceutical statistics - 31(2021), 4 vom: 04. Juli, Seite 490-506 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Menezes, André F B [VerfasserIn] |
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| Links: |
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| Themen: |
Beta distribution |
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| Anmerkungen: |
Date Completed 25.11.2021 Date Revised 25.11.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1080/10543406.2021.1918141 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM326020470 |
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| 245 | 1 | 2 | |a A collection of parametric modal regression models for bounded data |
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| 520 | |a Modal regression is an alternative approach for investigating the relationship between the most likely response and covariates and can hence reveal important structure missed by usual regression methods. This paper provides a collection of parametric mode regression models for bounded response variable by considering some recently introduced probability distributions with bounded support along with the well-established Beta and Kumaraswamy distribution. The main properties of the distributions are highlighted and compared. An empirical comparison between the considered modal regression is demonstrated through the analysis of three data sets from health and social science. For reproducible research, the proposed models are freely available to users as an R package unitModalReg | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a Beta distribution | |
| 650 | 4 | |a Kumaraswamy distribution | |
| 650 | 4 | |a Parametric modal regression | |
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| 700 | 1 | |a Chakraborty, Subrata |e verfasserin |4 aut | |
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