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• W1983608423 abstract "Summary Trends in sample extremes are of interest in many contexts, an example being environmental statistics. Parametric models are often used to model trends in such data, but they may not be suitable for exploratory data analysis. This paper outlines a semiparametric approach to smoothing sample extremes, based on local polynomial fitting of the generalized extreme value distribution and related models. The uncertainty of fits is assessed by using resampling methods. The methods are applied to data on extreme temperatures and on record times for the women's 3000 m race." @default.
• W1983608423 created "2016-06-24" @default.
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• W1983608423 date "2000-01-01" @default.
• W1983608423 modified "2023-10-03" @default.
• W1983608423 title "Local Likelihood Smoothing of Sample Extremes" @default.
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• W1983608423 doi "https://doi.org/10.1111/1467-9868.00228" @default.
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