FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2426710484> ?p ?o ?g. }

• W2426710484 endingPage "1399" @default.
• W2426710484 startingPage "1391" @default.
• W2426710484 abstract "ABSTRACT Generalized linear models ( GLMs ) are used in understanding the impact of predictors on a dependent variable. The aim of this study is to fit GLMs to daily rainfall totals using potential predictors. First, the appropriate probability distributions within a specific family, the Tweedie family, were determined for daily rainfall totals from four stations of Peninsular Malaysia from 1983 to 2012. Within the Tweedie family, the Poisson Gamma ( PG ) distribution was found appropriate to model both components: occurrence (dry/wet days) and amount (rainfall totals on wet days) of rainfall simultaneously. Then, the PG‐GLMs were fitted to rainfall data with a sine term, a cosine term, lagged rainfall, NINO3 .4 and Southern oscillation index ( SOI ) as predictors. Finally, the models were compared using the Likelihood ratio test and the Akaike information criterion. Initially, considering the cyclic pattern of rainfall data, models with only sine and cosine terms (the base model) were fitted. Then the lagged rainfall and climatological variables were added each time to the base model. Diagnostic QQ plots indicate that the models fit the data well. The models were fitted using the first 60% of data and validated using the remainder. The models capture the various characteristics of observed datasets reasonably well. Including single climatological variables in the model significantly improves the fit compared to the base model with lagged rainfall (except for the south‐east coastal station, Mersing), however, including both climatological predictors in the same model does not improve the model significantly. The model with SOI is only favoured for the east coastal station, Kuala Terengganu, and the model with NINO3 .4 fits better to the inland and west coastal stations. The models are useful in understanding the impact of the studied climatological variables and to predict the amount and probability of rainfall." @default.
• W2426710484 created "2016-06-24" @default.
• W2426710484 creator A5000133166 @default.
• W2426710484 creator A5010169262 @default.
• W2426710484 creator A5018017512 @default.
• W2426710484 creator A5053000525 @default.
• W2426710484 creator A5064733850 @default.
• W2426710484 date "2016-06-10" @default.
• W2426710484 modified "2023-10-13" @default.
• W2426710484 title "Modelling daily rainfall with climatological predictors: Poisson-gamma generalized linear modelling approach" @default.
• W2426710484 cites W1572224254 @default.
• W2426710484 cites W1661860198 @default.
• W2426710484 cites W1909670327 @default.
• W2426710484 cites W1910751443 @default.
• W2426710484 cites W1966592054 @default.
• W2426710484 cites W1991161780 @default.
• W2426710484 cites W1997189478 @default.
• W2426710484 cites W2020231699 @default.
• W2426710484 cites W2021062146 @default.
• W2426710484 cites W2025054577 @default.
• W2426710484 cites W2035117751 @default.
• W2426710484 cites W2038446442 @default.
• W2426710484 cites W2047600336 @default.
• W2426710484 cites W2052737230 @default.
• W2426710484 cites W2053660950 @default.
• W2426710484 cites W2054921694 @default.
• W2426710484 cites W2056575597 @default.
• W2426710484 cites W2058350957 @default.
• W2426710484 cites W2058377031 @default.
• W2426710484 cites W2077914043 @default.
• W2426710484 cites W2086127021 @default.
• W2426710484 cites W2089046749 @default.
• W2426710484 cites W2095983304 @default.
• W2426710484 cites W2101679955 @default.
• W2426710484 cites W2105965591 @default.
• W2426710484 cites W2146746757 @default.
• W2426710484 cites W2165270803 @default.
• W2426710484 cites W2175389461 @default.
• W2426710484 cites W2177373679 @default.
• W2426710484 cites W4254229744 @default.
• W2426710484 doi "https://doi.org/10.1002/joc.4784" @default.
• W2426710484 hasPublicationYear "2016" @default.
• W2426710484 type Work @default.
• W2426710484 sameAs 2426710484 @default.
• W2426710484 citedByCount "13" @default.
• W2426710484 countsByYear W24267104842017 @default.
• W2426710484 countsByYear W24267104842018 @default.
• W2426710484 countsByYear W24267104842019 @default.
• W2426710484 countsByYear W24267104842020 @default.
• W2426710484 countsByYear W24267104842021 @default.
• W2426710484 countsByYear W24267104842022 @default.
• W2426710484 countsByYear W24267104842023 @default.
• W2426710484 crossrefType "journal-article" @default.
• W2426710484 hasAuthorship W2426710484A5000133166 @default.
• W2426710484 hasAuthorship W2426710484A5010169262 @default.
• W2426710484 hasAuthorship W2426710484A5018017512 @default.
• W2426710484 hasAuthorship W2426710484A5053000525 @default.
• W2426710484 hasAuthorship W2426710484A5064733850 @default.
• W2426710484 hasConcept C100906024 @default.
• W2426710484 hasConcept C105795698 @default.
• W2426710484 hasConcept C126674687 @default.
• W2426710484 hasConcept C127313418 @default.
• W2426710484 hasConcept C149717495 @default.
• W2426710484 hasConcept C194648359 @default.
• W2426710484 hasConcept C33923547 @default.
• W2426710484 hasConcept C39432304 @default.
• W2426710484 hasConcept C41587187 @default.
• W2426710484 hasConcept C49204034 @default.
• W2426710484 hasConceptScore W2426710484C100906024 @default.
• W2426710484 hasConceptScore W2426710484C105795698 @default.
• W2426710484 hasConceptScore W2426710484C126674687 @default.
• W2426710484 hasConceptScore W2426710484C127313418 @default.
• W2426710484 hasConceptScore W2426710484C149717495 @default.
• W2426710484 hasConceptScore W2426710484C194648359 @default.
• W2426710484 hasConceptScore W2426710484C33923547 @default.
• W2426710484 hasConceptScore W2426710484C39432304 @default.
• W2426710484 hasConceptScore W2426710484C41587187 @default.
• W2426710484 hasConceptScore W2426710484C49204034 @default.
• W2426710484 hasFunder F4320322604 @default.
• W2426710484 hasIssue "3" @default.
• W2426710484 hasLocation W24267104841 @default.
• W2426710484 hasOpenAccess W2426710484 @default.
• W2426710484 hasPrimaryLocation W24267104841 @default.
• W2426710484 hasRelatedWork W1597757222 @default.
• W2426710484 hasRelatedWork W1927248280 @default.
• W2426710484 hasRelatedWork W2060298585 @default.
• W2426710484 hasRelatedWork W2067978923 @default.
• W2426710484 hasRelatedWork W2089520835 @default.
• W2426710484 hasRelatedWork W2147234968 @default.
• W2426710484 hasRelatedWork W2605824594 @default.
• W2426710484 hasRelatedWork W2972236603 @default.
• W2426710484 hasRelatedWork W4297682689 @default.
• W2426710484 hasRelatedWork W2527940101 @default.
• W2426710484 hasVolume "37" @default.
• W2426710484 isParatext "false" @default.
• W2426710484 isRetracted "false" @default.
• W2426710484 magId "2426710484" @default.
• W2426710484 workType "article" @default.