Looking for max-semistability: a new test for the extreme value condition
DOI10.1016/J.JSPI.2011.03.020zbMath1333.62137OpenAlexW2034190601MaRDI QIDQ546075
Sandra Dias, Maria da Graça Temido, Luísa Canto e Castro
Publication date: 24 June 2011
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2011.03.020
hypothesis testingmaximum likelihood estimatorempirical tail quantile functionMax-semistable modelsMax-stable models
Infinitely divisible distributions; stable distributions (60E07) Nonparametric hypothesis testing (62G10) Order statistics; empirical distribution functions (62G30) Statistics of extreme values; tail inference (62G32)
Related Items (5)
Cites Work
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- Generalized Pickands' estimators for the tail index parameter and max-semistability
- Testing extreme value conditions
- On maximum likelihood estimation of the extreme value index.
- On testing extreme value conditions
- Approximations to the tail empirical distribution function with application to testing extreme value conditions
- On Smooth Statistical Tail Functionals
- Max-Semistable Laws in Extremes of Stationary Random Sequences
- On Stochastic Evolution Equations with Stochastic Boundary Conditions
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