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Skewed bivariate models and nonparametric estimation for the CTE risk measure

Recurso electrónico / electronic resource
Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20090021433
003  MAP
005  20090217172807.0
008  090216e20081227esp|||p |0|||b|spa d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
24510‎$a‎Skewed bivariate models and nonparametric estimation for the CTE risk measure‎$c‎Catalina Bolance... [et al.]
520  ‎$a‎In this paper, it is illustrated the use of the Conditional Tail Expectation (CTE) risk measure on a set of bivariate real data consisting of two types of auto insurance claim costs. Several continuous bivariate distributions (normal, lognormal, skew-normal with the alternative log-skew-normal) are fitted to the data. Besides, a bivariate nonparametric transformed kernel estimation is presented. CTE formulas are given for all these, and numerical results on the real data are discussed and compared
650 1‎$0‎MAPA20080602437‎$a‎Matemática del seguro
650 1‎$0‎MAPA20080597665‎$a‎Métodos estadísticos
650 1‎$0‎MAPA20090003736‎$a‎Estimación Kernel
650 1‎$0‎MAPA20080603779‎$a‎Seguro de automóviles
650 1‎$0‎MAPA20080556495‎$a‎Siniestros
7001 ‎$0‎MAPA20080345099‎$a‎Bolancé Losilla, Catalina
7730 ‎$w‎MAP20077100574‎$t‎Insurance : mathematics and economics‎$d‎Oxford : Elsevier, 1990-‎$x‎0167-6687‎$g‎27/12/2008 Tomo 43 Número 3 - 2008, p. 386-393