Time series Decomposition - An Application to Dengue Data with Climatic Variables

dc.contributor.author	Attanayake, A.M.C.H.
dc.contributor.author	Perera. S. S. N.
dc.contributor.author	Liyanage, U.P.
dc.date.accessioned	2022-03-22T10:53:19Z
dc.date.available	2022-03-22T10:53:19Z
dc.date.issued	2019
dc.identifier.citation	RIRC - 2019 , Rajarata International Research Conference, Faculty of Applied Sciences	en_US
dc.identifier.issn	2235-9710
dc.identifier.uri	http://repository.rjt.ac.lk/handle/123456789/3892
dc.language.iso	en	en_US
dc.publisher	Rajarata University of Sri Lanka, Faculty of Applied Sciences	en_US
dc.subject	Random	en_US
dc.subject	seasonal	en_US
dc.subject	stepwise regression	en_US
dc.subject	time series decomposition	en_US
dc.subject	trend	en_US
dc.title	Time series Decomposition - An Application to Dengue Data with Climatic Variables	en_US
dc.type	Article	en_US