Author(s)

N. D. Ramirez-Beltran, F. Gilbes & J.M. Castro

Abstract

This research effort attempts to predict one year ahead the concentration of fecal coliforms at the mouth of the Añasco River, located in Puerto Rico. One of the most efficient techniques to represent stochastic processes is time series modeling. These models decompose the process into three major components: trend, seasonality and stochastic components. Unfortunately, time series models require observations at equal time intervals. Since the water quality data are not given at regular intervals, an adaptive estimation technique is proposed to estimate the missing values and, therefore, to g

Keywords