Show simple item record Mathugama, SC Peiris, S 2013-10-21T02:12:51Z 2013-10-21T02:12:51Z
dc.description.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.
dc.language en
dc.title Forecasting critical dry spell lengths in anamaduwa
dc.type Conference-Abstract
dc.identifier.year 2010
dc.identifier.conference Research for Industry Faculty of Engineering, University of Moratuwa
dc.identifier.pgnos 240-241
dc.identifier.proceeding 16th Annual symposium on Research and Industry

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