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Browsing by Author "Holloway, J"

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  • Holloway, Jennifer P; Haines, L; Leask, K (SASA 2010, 2010-11)
    When modelling count data that comes in the form of a time series, the static Poisson regression and standard time series models are often not appropriate. A current study therefore involves the evaluation of several ...
  • Holloway, Jennifer P; Ittmann, H; Greben, J; Elphinstone, C; Schmitz, Peter MU; de Villiers, R; Zaid, K (CSIR, 2009-04-23)
    As soon as the election results start coming in, a team of seven CSIR researchers will get to work to do election night forecasting. These scientists will use statistical modelling based on the first actual voting results ...
  • Greben, JM; Elphinstone, E; Holloway, Jennifer P (ORSSA - Operations Research Society of South Africa, 2006-06)
    A novel model has been developed to predict elections on the basis of early results. The electorate is clustered according to their behaviour in previous elections. Early results in the new elections can then be translated ...
  • Greben, JM; Elphinstone, C; Holloway, Jennifer P; De Villiers, R; Ittmann, HW; Schmitz, Peter MU (Acad Science South Africa, 2005-03)
    During the last three elections in South Africa, the CSIR was involved in the prediction of the final outcome on the basis of early results. In this paper, we describe the methods used by the CSIR in these elections and ...