The smoothing and forecasting of discrete time series that occur at random review intervals of time

Abstract

Implicit in the classical techniques of smoothing and forecasting of discrete time series is the restriction that the data spans equal intervals of time. There exists a need to make forecasts at unequal time intervals for the transactio or even oriented business activity