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.
Bruno F. , Cocchi D. (2011). Interpreting air quality indices as random quantities. BERLIN HEIDELBERG : Springer-Verlag [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.File in questo prodotto:
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