In two-event situations, a reliability diagram provides a geometrical framework for evaluating this attribute of probability forecasts. However, reliability is only one of several important attributes of such forecasts. This paper describes an extension of the reliability diagram - the attributes diagram - in which the accuracy, resolution, and skill, as well as the reliability, of probability forecasts can be depicted. Moreover, these geometrical representations are shown to be directly related to quantitative measures of the respective attributes. The interpretation and use of the attributes diagram is illustrated by considering samples of probabilistic quantitative precipitation forecasts. Some possible extensions of this diagram to multiple-event situations are briefly discussed.
(private-note)Invents the attributes diagram, which is a reliability diagram with extra annotations. See Wilks (Stat Methods in the Atm Scis) eg 2006 (2nd ed) p291-292, fig 7.10
%0 Journal Article
%1 Hsu1986Attributes
%A Hsu, Wu-ron
%A Murphy, Allan H.
%D 1986
%J International Journal of Forecasting
%K verification statistics
%N 3
%P 285--293
%R 10.1016/0169-2070(86)90048-8
%T The attributes diagram A geometrical framework for assessing the quality of probability forecasts
%U http://dx.doi.org/10.1016/0169-2070(86)90048-8
%V 2
%X In two-event situations, a reliability diagram provides a geometrical framework for evaluating this attribute of probability forecasts. However, reliability is only one of several important attributes of such forecasts. This paper describes an extension of the reliability diagram - the attributes diagram - in which the accuracy, resolution, and skill, as well as the reliability, of probability forecasts can be depicted. Moreover, these geometrical representations are shown to be directly related to quantitative measures of the respective attributes. The interpretation and use of the attributes diagram is illustrated by considering samples of probabilistic quantitative precipitation forecasts. Some possible extensions of this diagram to multiple-event situations are briefly discussed.
@article{Hsu1986Attributes,
abstract = {In two-event situations, a reliability diagram provides a geometrical framework for evaluating this attribute of probability forecasts. However, reliability is only one of several important attributes of such forecasts. This paper describes an extension of the reliability diagram - the attributes diagram - in which the accuracy, resolution, and skill, as well as the reliability, of probability forecasts can be depicted. Moreover, these geometrical representations are shown to be directly related to quantitative measures of the respective attributes. The interpretation and use of the attributes diagram is illustrated by considering samples of probabilistic quantitative precipitation forecasts. Some possible extensions of this diagram to multiple-event situations are briefly discussed.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Hsu, Wu-ron and Murphy, Allan H.},
biburl = {https://www.bibsonomy.org/bibtex/20ed125fe839107c26bc06acc0f8a4e9a/pbett},
citeulike-article-id = {12512748},
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citeulike-linkout-0 = {http://dx.doi.org/10.1016/0169-2070(86)90048-8},
comment = {(private-note)Invents the attributes diagram, which is a reliability diagram with extra annotations. See Wilks (Stat Methods in the Atm Scis) eg 2006 (2nd ed) p291-292, fig 7.10},
doi = {10.1016/0169-2070(86)90048-8},
file = {Hsu_Murphy_1986_attributesdiagram.pdf},
interhash = {276feb53b6ffc764efc1418323cfbb31},
intrahash = {0ed125fe839107c26bc06acc0f8a4e9a},
issn = {01692070},
journal = {International Journal of Forecasting},
keywords = {verification statistics},
month = jan,
number = 3,
pages = {285--293},
posted-at = {2015-07-24 11:32:29},
priority = {2},
timestamp = {2018-06-22T18:35:16.000+0200},
title = {The attributes diagram A geometrical framework for assessing the quality of probability forecasts},
url = {http://dx.doi.org/10.1016/0169-2070(86)90048-8},
volume = 2,
year = 1986
}