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D. Stephenson (2000)
Use of the “Odds Ratio” for Diagnosing Forecast SkillWeather and Forecasting, 15
Timothy Armistead (2013)
H. L. Wagner's Unbiased Hit Rate and the Assessment of Categorical Forecasting AccuracyWeather and Forecasting, 28
A. Murphy, R. Winkler (1987)
A General Framework for Forecast VerificationMonthly Weather Review, 115
H. Wagner (1993)
On measuring performance in category judgment studies of nonverbal behaviorJournal of Nonverbal Behavior, 17
1. Introduction By way of cautioning atmospheric scientists, Jolliffe and Stephenson identify six purportedly undesirable properties of Wagner’s measure, H u , which I failed to discuss in Armistead (2013) . The authors do not question the two major thrusts of the paper: that H u avoids limitations that variously affect single-expression categorical measures in the atmospheric sciences, including those proposed by Doolittle, Gilbert, Heidke, Peirce, and (more recently) Stephenson, and that there is a logical linkage between Wagner’s measure, Bayes’s theorem, and Murphy and Winkler (1987) . Except where necessary to clarify a point, my discussion is limited accordingly. In brief, this reply argues as follows. Two of the authors’ observations do not identify properties of Wagner’s measure, whether undesirable or otherwise; instead, they reflect what could be considered advantages of the properties of H u ( sections 2a and 2b ). A third observation ( section 2c ) reflects an apparent misunderstanding of a property of H u , and three observations ( sections 2d – f ) are mixtures of well-considered opinions with which I do not agree and of further possible misunderstandings. I believe that none of the six observations rises to the level
Weather and Forecasting – American Meteorological Society
Published: Jan 14, 2014
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