Výsledky vyhledávání - "monthly maxima"

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A Bayesian hierarchical model for monthly maxima of instantaneous flow

Autor: Ferkingstad, Egil, Geirsson, Oli Pall, Hrafnkelsson, Birgir, Davidsson, Olafur Birgir, Gardarsson, Sigurdur Magnus

We propose a comprehensive Bayesian hierarchical model for monthly maxima of instantaneous flow in river catchments. The Gumbel distribution is used as the probabilistic model for the observations, which are assumed to come from several catchments. O

Externí odkaz: http://arxiv.org/abs/1606.07667

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Akademický článek

Robust flood statistics: comparison of peak over threshold approaches based on monthly maxima and TL-moments.

Autor: Fischer, Svenja¹ (AUTHOR) svenja.fischer@rub.de, Schumann, Andreas² (AUTHOR)

Publikováno v: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Mar2016, Vol. 61 Issue 3, p457-470. 14p.

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Robust flood statistics: comparison of peak over threshold approaches based on monthly maxima and TL-moments

Autor: Svenja Fischer, Andreas Schumann

Publikováno v: Hydrological Sciences Journal. 61:457-470

Flood quantile estimation based on partial duration series (peak over threshold, POT) represents a noteworthy alternative to the classical annual maximum approach since it enlarges the available information spectrum. Here the POT approach is discusse

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed2294bd9c3eb67bb261a6719d5ccf1f
https://doi.org/10.1080/02626667.2015.1054391

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Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data

Autor: Noor Akma Ibrahim, Mohd Bakri Adam, Nor Azrita Mohd Amin

Publikováno v: AIP Conference Proceedings.

The Multiple-try Metropolis (MTM) algorithm is the new alternatives in the field of Bayesian extremes for summarizing the posterior distribution. MTM produce efficient estimation scheme for modelling extreme data in term of the convergence and small

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f95a611ed27072bcbdef8964f8b81368
https://doi.org/10.1063/1.4894356

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Akademický článek

A Wave Directionality and a Within-Year Wave Climate Variability Effects on the Long-Term Extreme Significant Wave Heights Prediction in the Adriatic Sea

Autor: Antonio Mikulić, Joško Parunov

Publikováno v: Journal of Marine Science and Engineering, Vol 11, Iss 1, p 42 (2022)

The extreme significant wave height predictions often neglect within-year wave climate variability and wave directionality. Depending on a geographical region, local wind patterns and year climate variability could have an influence on the long-term

Externí odkaz: https://doaj.org/article/255056dc1e7d4cd0bac5b020245e69e2

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