This　paper　considers　the　nonparametric　inverse　probability　weighted　estimation　for　functional　data　with　missing　response　data　at　random.　Under　mild　conditions,　the　asymptotic　properties　of　the　proposed　estimation　method　are　established.　Based　on　the　resampling　method,　the　estimation　of　the　asymptotic　variance　of　the　proposed　estimator　is　obtained.　Finally,　the　finite　sample　properties　of　the　proposed　estimation　method　are　investigated　via　Monte　Carlo　simulation　studies.　A　real　data　analysis　is　given　to　illustrate　the　use　of　the　proposed　method.　(C)　2019　The　Korean　Statistical　Society.　Published　by　Elsevier　B.V.　All　rights　reserved.