Synthetic indices are a way of condensing complex situations to give one single value. A very common example of this in environmental studies is that of air quality indices; in their construction, statistics is helpful in summarizing multidimensional information. In this work, we are going to consider synthetic air-quality indices as random quantities, and investigate their main properties by comparing the confidence bands of their cumulative distribution functions.

Interpreting air quality indices as random quantities

BRUNO, FRANCESCA;COCCHI, DANIELA
2011

Abstract

Synthetic indices are a way of condensing complex situations to give one single value. A very common example of this in environmental studies is that of air quality indices; in their construction, statistics is helpful in summarizing multidimensional information. In this work, we are going to consider synthetic air-quality indices as random quantities, and investigate their main properties by comparing the confidence bands of their cumulative distribution functions.
New Perspectives in Statistical Modeling and data Analysis
437
445
Bruno F. ; Cocchi D.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/106882
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