Estimation of canonical dependence parameters in a class of bivariate peaks-over-threshold models
Michael Falk and
Rolf-Dieter Reiss
Statistics & Probability Letters, 2001, vol. 52, issue 3, 233-242
Abstract:
This paper deals with the estimation of dependence parameters in certain bivariate generalized Pareto models which are models for exceedances (peaks) over high thresholds. A unified approach is obtained by using canonical parameters. An estimator, which is related to a best linear unbiased estimator, turns out to be inefficient compared to a nonlinear one.
Keywords: Generalized; Pareto; distributions; Dependence; parameters; Asymptotic; normality; Best; linear; unbiased; estimator; (BLUE) (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:52:y:2001:i:3:p:233-242
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