WebHaslett, J. and Raftery, A.E. (1989). Space-time modelling with long-memory dependence: Assessing Ireland's wind power resource (with Discussion). Journal of the Royal Statistical Society, series C - Applied Statistics, 38, 1-50. Raftery, A.E. (1988). Analysis of a simple debugging model. WebHaslett, J. and Raftery, A.E. (1989) Space-time Modelling with Long-memory Dependence Assessing Ireland’s Wind Power Resource (with Discussion). Applied Statistics, 38, 1-50. …
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WebThere are two main strands in my spatial statistics research: geostatistical methods, and spatial point processes. I have been using and extending geostatistical methods for atmospheric science problems in weather forecasting (Gel et al 2004, Berrocal et al 2007), air pollution (Fuentes and Raftery 2005), and wind energy (Haslett and Raftery 1989). WebThe surname Haslett was first found in Surrey where they held a family seat as Lords of the Manor. The Saxon influence of English history diminished after the Battle of Hastings in … how was flint water crisis solved
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WebAdrian E. Raftery is Associate Professor, Department of Statistics, GN-22, University of Washington, Seattle, Washington 98195. EXTREME VALUE ANALYSIS 379 ... (Haslett and Raftery, 1989, and references therein). Climate influ-ences ozone levels, so it is possible that ozone levels may also exhibit long-memory dependence. This is WebDiscussion of the Paper by Haslett and Raftery Professor R. L. Smith (University ofSurrey): This paper is an excellent example of the development of statistical methodology to solve a substantial applied problem. The problem is typical of those which arise in what may loosely be termed the environmental sciences WebMaximum likelihood estimation of the parameters of a fractionally differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989); including inference and basic methods. Some alternative algorithms to estimate "H". how was flour made in the paleolithic era