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Showing 1 to 3 of 3 for “"Generalised additive model"”.

  1. A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor

    … after clustered by district and Fuzzy C-Means Model (FCM). Thirdly, the development of models using the existing dataset and the new datasets which clustered by the two different clustering categories. Then, to assess the models developed by using three measurement methods which are deviance …

    uthm Repository record for A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor (opens in a new tab)

  2. Long term peak electricity demand forecastion in South Africa using quantile regression

    … by 2030. Hence, it is important to provide a modelling framework for forecasting long-term peak electricity demand and quantifying uncertainty of future electricity demand for better electricity security management. In order to estimate and capture changes in long-term peak electricity demand, …

    venda Repository record for Long term peak electricity demand forecastion in South Africa using quantile regression (opens in a new tab)

  3. Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia submitted

    … The study proposes a potential framework of modelling spatio-temporal variation in dengue risk on a national scale in Malaysia using both climate and non-climate information. Early chapters set the scene by discussing Malaysia and Climate in Malaysia and reviewing previous work on dengue …

    uthm Repository record for Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia submitted (opens in a new tab)