Forecasting critical dry spell lengths in anamaduwa

Abstract

Series of critical dry spell lengths in 56 years in Anamaduwa are analysed to predict the length of critical dry spells Both linear and nonlinear lime series approaches are tried to identify the best Jilted model By comparing various statistical indicators, bilinear model with auto regressive errors of order four is found to be the best model lo lit die critical dry spell lengths.