Amani Almohaimeed
Box-Cox response transformations for random effect models
Almohaimeed, Amani; Einbeck, Jochen
Abstract
For the linear model with random effects of unspecified distribution, we develop methodology for simultaneous response transformation and estimation of regres- sion parameters. This is achieved by extending the Nonparametric Maximum Likelihood towards a Nonparametric Profie Maximum Likelihood technique. The methods allow to deal with overdispersion as well as two-level data scenarios.
Citation
Almohaimeed, A., & Einbeck, J. (2018). Box-Cox response transformations for random effect models. In Proceedings of the 33rd International Workshop on Statistical Modelling (1-6)
Conference Name | International Workshop on Statistical Modelling |
---|---|
Conference Location | Bristol |
Acceptance Date | Apr 9, 2018 |
Online Publication Date | Jul 15, 2018 |
Publication Date | 2018 |
Deposit Date | Jun 22, 2020 |
Volume | 2 |
Pages | 1-6 |
Book Title | Proceedings of the 33rd International Workshop on Statistical Modelling |
Keywords | Box-Cox transformation, variance component model, EM algorithm |
Public URL | https://durham-repository.worktribe.com/output/1142503 |
Publisher URL | http://www.statmod.org/workshops_archive_proceedings_2018.html |
Related Public URLs | https://www.researchgate.net/publication/327107306_Box-Cox_response_transformations_for_random_effect_models |
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