Synthetic indices are a solution for condensing complex situations into a single value: air quality indices are a very popular example. Statistics is helpful in their construction, for summarizing multidimensional information. In this work, we consider synthetic air quality indices as random quantities coming from asymmetric distributions and investigate their main properties.
Interpreting air quality indices as random quantities
BRUNO, FRANCESCA;COCCHI, DANIELA
2009
Abstract
Synthetic indices are a solution for condensing complex situations into a single value: air quality indices are a very popular example. Statistics is helpful in their construction, for summarizing multidimensional information. In this work, we consider synthetic air quality indices as random quantities coming from asymmetric distributions and investigate their main properties.File in questo prodotto:
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