Application of loglinear models in estimating wet category in monthly rainfall

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


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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.

Item Type:Article
Keywords:Loglinear models; odds; Standardized Precipitation Index (SPI); wet classification
Journal:Sains Malaysiana
ID Code:5571
Deposited By: Mr Azam
Deposited On:18 Oct 2012 01:33
Last Modified:14 Dec 2016 06:38

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