ESTIMATION OF MISSING VALUES FOR BILINEAR TIME SERIES MODELS WITH GARCH INNOVATIONS USING NONPARAMETRIC METHODS

Abstract

A time series is defined as data recorded sequentially Since the data are records taken overtime, very common. They may occur as a result lost records, deletion of outliers, calender instruments Imputation is a necessary part of preprocessing