2020
DOI: 10.48550/arxiv.2010.11368
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Robust estimation in beta regression via maximum Lq-likelihood

Abstract: Beta regression models are widely used for modeling continuous data limited to the unit interval, such as proportions, fractions, and rates. The inference for the parameters of beta regression models is commonly based on maximum likelihood estimation. However, it is known to be sensitive to discrepant observations. In some cases, one atypical data point can lead to severe bias and erroneous conclusions about the features of interest. In this work, we develop a robust estimation procedure for beta regression mo… Show more

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