Boosted Beta Regression

@inproceedings{Schmid2013BoostedBR,
  title={Boosted Beta Regression},
  author={Matthias Schmid and Florian Wickler and Kelly O. Maloney and Richard Mitchell and Nora Fenske and Andreas Mayr},
  booktitle={PloS one},
  year={2013}
}
Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale. In this paper, we consider beta regression, which is a generalization of logit models to situations where the response is continuous on the interval (0,1). Consequently, beta regression is a convenient tool for analyzing percentage responses. The classical approach to fit a beta… CONTINUE READING