bounded data

Hello all, I am working on a difficult (for my abilities) dataset. The dependent variable is continuous [0-3] bounded and was measured between 2000 to 2019 in several locations (not necessarily the same location in each year). So I have a spatial component that would like to account for. My...

Quantile regression is cool. But I wonder about using it when the dependent variable is bounded. I often work with happiness variables, emerging from a questionnaire where respondents select from a 0 - 10 scale. Running a quantile regression, it seems that pretty much every independent...

Hi! Thanks to previous suggestions I have determined that my bounded data sets are fit well by beta and/or fractional logistic distributions. I am wondering now, what the appropriate hypothesis tests would be for such distributions? I have been using Kruskall-Wallis and the Mann-Whitney/Wilcox...