Thesis (Selection of subject)Thesis (Selection of subject)(version: 390)
Thesis details
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Průměrování modelů
Thesis title in Czech: Průměrování modelů
Thesis title in English: Model averaging
Key words: průměrování modelů|MCP-Mod|závislost odpovědi na dávce|konfidenční intervaly
English key words: model-averaging|MCP-Mod|dose-response|confidence intervals
Academic year of topic announcement: 2020/2021
Thesis type: diploma thesis
Thesis language: čeština
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. RNDr. Zdeněk Hlávka, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 18.02.2021
Date of assignment: 18.02.2021
Confirmed by Study dept. on: 09.03.2021
Date and time of defence: 08.06.2022 08:20
Date of electronic submission:05.05.2022
Date of submission of printed version:09.05.2022
Date of proceeded defence: 08.06.2022
Opponents: prof. RNDr. Jaromír Antoch, CSc.
 
 
 
Guidelines
Uchazeč podrobně rozebere metodu `model averaging' založenou na průměrování většího počtu modelů. Hlavním cílem práce je prozkoumání možností konstrukce konfidenčních intervalů při použití metody MCP-Mod v modelech závislosti odpovědi na dávce.
References
Bretz, F., Pinheiro, J. C., & Branson, M. (2005). Combining multiple comparisons and modeling techniques in dose‐response studies. Biometrics, 61(3), 738-748.
Claeskens, G., & Hjort, N. L. (2008). Model selection and model averaging. Cambridge Books.
Hansen, B. E. (2007). Least squares model averaging. Econometrica, 75(4), 1175-1189.
Moral‐Benito, E. (2015). Model averaging in economics: An overview. Journal of Economic Surveys, 29(1), 46-75.
Verrier, D., Sivapregassam, S., & Solente, A. C. (2014). Dose-finding studies, MCP-Mod, model selection, and model averaging: two applications in the real world. Clinical Trials, 11(4), 476-484.
 
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