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contributor authorMarzban, Caren
contributor authorMitchell, E. De Wayne
contributor authorStumpf, Gregory J.
date accessioned2017-06-09T14:58:16Z
date available2017-06-09T14:58:16Z
date copyright1999/12/01
date issued1999
identifier issn0882-8156
identifier otherams-3094.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4168334
description abstractIt is argued that the strength of a predictor is an ill-defined concept. At best, it is contingent on many assumptions, and, at worst, it is an ambiguous quantity. It is shown that many of the contingencies are met (or avoided) only in a bivariate sense, that is, one independent variable (and one dependent variable) at a time. Several such methods are offered after which data produced by the National Severe Storms Laboratory?s Tornado Detection Algorithm are analyzed for the purpose of addressing the question of which storm-scale vortex attributes based on Doppler radar constitute the ?best predictors? of tornadoes.
publisherAmerican Meteorological Society
titleThe Notion of “Best Predictors”: An Application to Tornado Prediction
typeJournal Paper
journal volume14
journal issue6
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1999)014<1007:TNOBPA>2.0.CO;2
journal fristpage1007
journal lastpage1016
treeWeather and Forecasting:;1999:;volume( 014 ):;issue: 006
contenttypeFulltext


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