The Shorth Plot
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Abstract
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Suggested Citation
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Other versions of this item:
- Einmahl, J.H.J. & Gantner, M. & Sawitzki, G., 2010. "The Shorth Plot," Other publications TiSEM 0bb67ddc-0dd1-4c13-9916-5, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & Gantner, M. & Sawitzki, G., 2008. "The Shorth Plot," Other publications TiSEM 10b5cfb5-c502-46dc-8e51-5, Tilburg University, School of Economics and Management.
Citations
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Cited by:
- John H. J. Einmahl & Laurens Haan & Chen Zhou, 2016.
"Statistics of heteroscedastic extremes,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 31-51, January.
- Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2014. "Statistics of Heteroscedastic Extremes," Discussion Paper 2014-015, Tilburg University, Center for Economic Research.
- Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2014. "Statistics of Heteroscedastic Extremes," Other publications TiSEM 19952ae4-25ff-4e1b-8627-d, Tilburg University, School of Economics and Management.
- Einmahl, John & Segers, Johan, 2020.
"Empirical Tail Copulas for Functional Data,"
Other publications TiSEM
edc722e6-cc70-4221-87a2-8, Tilburg University, School of Economics and Management.
- Einmahl, John & Segers, Johan, 2020. "Empirical Tail Copulas for Functional Data," Discussion Paper 2020-004, Tilburg University, Center for Economic Research.
- Einmahl, John & Segers, Johan, 2020. "Empirical tail copulas for functional data," LIDAM Discussion Papers ISBA 2020004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
More about this item
Keywords
Data analysis; distribution diagnostics; functional central limit theorem; probability mass concentration;JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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