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dc.contributor.authorO'Muircheartaigh, I. G.
dc.contributor.authorGaver, Donald Paul
dc.date1987-09
dc.date.accessioned2013-02-27T23:37:56Z
dc.date.available2013-02-27T23:37:56Z
dc.date.issued1987-09
dc.identifier.urihttp://hdl.handle.net/10945/29470
dc.description.abstractThis article addresses the problem of predicting multi(more than two) category events. It describes a new approach (based on generalized linear models) which is natural extension of the technique of logistic regression (a method widely used for the prediction of dichotomous events). As an example, the method is applied to the prediction of tropical storm imminence, and the performance of the method is compared with that of alternative well-established techniques. Keywords: Meteorology; Weather forecastingen_US
dc.description.sponsorshipNaval Postgraduate School, Monterey, CA.en_US
dc.description.urihttp://archive.org/details/predictionofpoly00omui
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshMATHEMATICAL MODELS.WEATHER FORECASTING.MATHEMATICAL PREDICTION.en_US
dc.titlePrediction of polytomous events: Model description, algorithm development and methodological aspects, with an applicationen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorGeneralized linear modelsen_US
dc.subject.authorLogisticsen_US
dc.subject.authorRegressionen_US
dc.subject.authorPolytomou Predictionen_US
dc.identifier.npsreportNPS55-87-010


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