Parameter estimation of the functional linear model with scalar response with responses missing at random

Abstract

This contribution considers estimation of the parameters of the functional linear model with scalar response when some of the responses are missing at random. We consider two different estimation methods of the functional slope of the model and analyze their characteristics. Simulations and the analysis of a real data example provides some insight into the behavior of both estimation procedures.