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contributor authorHarvey, Lewis O.
contributor authorHammond, Kenneth R.
contributor authorLusk, Cynthia M.
contributor authorMross, Ernest F.
date accessioned2017-06-09T16:08:44Z
date available2017-06-09T16:08:44Z
date copyright1992/05/01
date issued1992
identifier issn0027-0644
identifier otherams-61949.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4202786
description abstractA variety of measures are used to judge the skill and accuracy with which forecasters predict the weather and to verify forecasts: Such measures can confound accuracy with decision strategy and sometimes give conflicting indications of performance. Signal detection theory (SDT) provides a theoretical framework for describing forecasting behavior and minimizing these problems. We illustrate the utility of signal detection theory in this context, show how it can be used to understand the effects of time pressure created by frequent weather activity on forecasting judgments, and illustrate how to achieve a specific social policy.
publisherAmerican Meteorological Society
titleThe Application of Signal Detection Theory to Weather Forecasting Behavior
typeJournal Paper
journal volume120
journal issue5
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1992)120<0863:TAOSDT>2.0.CO;2
journal fristpage863
journal lastpage883
treeMonthly Weather Review:;1992:;volume( 120 ):;issue: 005
contenttypeFulltext


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