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 F. ; Cocchi D.. - STAMPA. - (2011), pp. 437-445. (Intervento presentato al convegno 7th conference of the Classification and Data Analysis Group of the Italian Statistical Society tenutosi a Catania nel 9-11 september 2009) [10.1007/978-3-642-11363-5_49].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
