A bivariate extension of three-parameter generalized crack distribution for loss severity modelling

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초록

In this paper, we introduce a bivariate extension of three-parameter generalized crack distribution for modelling loss data. Some basic properties such as the conditional distribution and the measures of association are discussed, and a method of parameter estimation is offered. A simulation-based approach to compute bivariate value-at-risk under the model is also discussed. The proposed model and estimation method are illustrated with a model fitting exercise on a real catastrophic loss data set.

키워드

Birnbaum-Saunders distributionGeneralized crack distributionMeasures of associationBivariate value-at-riskCatastrophic lossLIFE DISTRIBUTIONSKENDALLS TAUFAMILY
제목
A bivariate extension of three-parameter generalized crack distribution for loss severity modelling
저자
Bae, TaehanChoi, Yang Ho
DOI
10.1007/s42952-021-00144-2
발행일
2022-06
유형
Article
저널명
Journal of the Korean Statistical Society
51
2
페이지
378 ~ 402