Forecasting critical dry spell lengths in anamaduwa

dc.contributor.author	Mathugama, SC
dc.contributor.author	Peiris, S
dc.date.accessioned	2013-10-21T02:12:51Z
dc.date.available	2013-10-21T02:12:51Z
dc.date.issued	2010
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.identifier.conference	Research for Industry
dc.identifier.pgnos	pp. 240-241
dc.identifier.place	Faculty of Engineering, University of Moratuwa
dc.identifier.proceeding	16th Annual symposium on Research and Industry
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/8239
dc.identifier.year	2010
dc.language	en
dc.title	Forecasting critical dry spell lengths in anamaduwa
dc.type	Conference-Extended-Abstract

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