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Application of loglinear models in estimating wet category in monthly rainfall

Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the study in changes of rainfall patterns. Changes in rainfall patterns affect the dryness and wetness conditions of a region. In this study, the three-dimensional loglinear mod...

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Main Authors: Wahidah Sanusi,, Kamarulzaman Ibrahim,
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2012
Online Access:http://journalarticle.ukm.my/5571/1/04%2520Wahidah.pdf
http://journalarticle.ukm.my/5571/
http://www.ukm.my/jsm/
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spelling my-ukm.journal.55712016-12-14T06:38:50Z http://journalarticle.ukm.my/5571/ Application of loglinear models in estimating wet category in monthly rainfall Wahidah Sanusi, Kamarulzaman Ibrahim, Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the study in changes of rainfall patterns. Changes in rainfall patterns affect the dryness and wetness conditions of a region. In this study, the three-dimensional loglinear model was used to fit the observed frequencies and to model the expected frequencies of wet class transition on eight rainfall stations in Peninsular Malaysia. The expected frequency values could be employed to determine the odds value of wet classes of each station. Further, the odds values were used to estimate the wet class of the following month if the wet class of the previous month and current month were identified. The wet classification based on SPI index (Standardized Precipitation Index). For station that was analyzed, there was no difference found were between estimated and observed wet classes. It was concluded that the loglinear models can be used to estimate the wetness classes through the estimates of odds values. Universiti Kebangsaan Malaysia 2012-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5571/1/04%2520Wahidah.pdf Wahidah Sanusi, and Kamarulzaman Ibrahim, (2012) Application of loglinear models in estimating wet category in monthly rainfall. Sains Malaysiana, 41 (11). pp. 1345-1353. ISSN 0126-6039 http://www.ukm.my/jsm/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the study in changes of rainfall patterns. Changes in rainfall patterns affect the dryness and wetness conditions of a region. In this study, the three-dimensional loglinear model was used to fit the observed frequencies and to model the expected frequencies of wet class transition on eight rainfall stations in Peninsular Malaysia. The expected frequency values could be employed to determine the odds value of wet classes of each station. Further, the odds values were used to estimate the wet class of the following month if the wet class of the previous month and current month were identified. The wet classification based on SPI index (Standardized Precipitation Index). For station that was analyzed, there was no difference found were between estimated and observed wet classes. It was concluded that the loglinear models can be used to estimate the wetness classes through the estimates of odds values.
format Article
author Wahidah Sanusi,
Kamarulzaman Ibrahim,
spellingShingle Wahidah Sanusi,
Kamarulzaman Ibrahim,
Application of loglinear models in estimating wet category in monthly rainfall
author_facet Wahidah Sanusi,
Kamarulzaman Ibrahim,
author_sort Wahidah Sanusi,
title Application of loglinear models in estimating wet category in monthly rainfall
title_short Application of loglinear models in estimating wet category in monthly rainfall
title_full Application of loglinear models in estimating wet category in monthly rainfall
title_fullStr Application of loglinear models in estimating wet category in monthly rainfall
title_full_unstemmed Application of loglinear models in estimating wet category in monthly rainfall
title_sort application of loglinear models in estimating wet category in monthly rainfall
publisher Universiti Kebangsaan Malaysia
publishDate 2012
url http://journalarticle.ukm.my/5571/1/04%2520Wahidah.pdf
http://journalarticle.ukm.my/5571/
http://www.ukm.my/jsm/
_version_ 1643736456594718720
score 13.211869

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