极值模型的惩罚拟极大似然估计及其在洪水频率分析中的应用

IF 1.1 3区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Extremes Pub Date : 2020-06-03 DOI:10.1007/s10687-020-00379-y

Axel Bücher, J. Lilienthal, Paul Kinsvater, R. Fried

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Penalized quasi-maximum likelihood estimation for extreme value models with application to flood frequency analysis

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来源期刊

Extremes MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

2.20

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged. Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue.