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To Logit Or Not To Logit Data In The Unit Interval: A Simulation Study, Kayode Idris Hamzat
To Logit Or Not To Logit Data In The Unit Interval: A Simulation Study, Kayode Idris Hamzat
Major Papers
In this paper, we recommend a mechanism for determining whether to logit or not to logit data in the unit interval which is based on quantile estimation of data between 0 and 1. By using a simulated dataset generated from a Beta regression model, the estimated quantile for this model perform better than those based on the linear quantile regression with logit transformation.
Further, we investigate the performance of the quantile regression estimators based on the LQR and we conclude that it is better than those based on the Beta regression when the distribution is contaminated with 10% uniform numbers …