Thinking inside the bounds: Improved error distributions for indifference point data analysis and simulation via beta regression using common discounting functions

Mingang Kim, Mikhail N. Koffarnus, Christopher T Franck

Standard nonlinear regression is commonly used when modeling indifference points due to its ability to closely follow observed data, resulting in a good model fit. However, standar…