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Bounds on Spearman's rho when at least one random variable is discrete

Recurso electrónico / Electronic resource
MARC record
Tag12Value
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001  MAP20220019897
003  MAP
005  20220701145126.0
008  220701e20220606che|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
1001 ‎$0‎MAPA20220006712‎$a‎Mesfioui, Mhamed
24510‎$a‎Bounds on Spearman's rho when at least one random variable is discrete‎$c‎Mhamed Mesfioui, Pierre Zuyderhoff
520  ‎$a‎Spearman's rho is one of the most popular dependence measures used in practice to describe the association between two random variables. However, in case of at least one random variable being discrete, Spearman's correlations are often bounded and restricted to a sub-interval of [-1,1]. Hence, small positive values of Spearman's rho may actually support a strong positive dependence when getting close to its highest attainable value. Similarly, slight negative values of Spearman's rho can actually mean a strong negative dependence. In this paper, we derive the best-possible upper and lower bounds for Spearman's rho when at least one random variable is discrete. We illustrate the obtained lower and upper bounds in some situations of practical relevance.
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20080602437‎$a‎Matemática del seguro
7730 ‎$w‎MAP20220007085‎$g‎06/06/2022 Número 1 - junio 2022 , p. 321-348‎$t‎European Actuarial Journal‎$d‎Cham, Switzerland : Springer Nature Switzerland AG, 2021-2022