Articles with "largest order" as a keyword



Generalized logistic model for r largest order statistics, with hydrological application

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Published in 2024 at "Stochastic Environmental Research and Risk Assessment"

DOI: 10.1007/s00477-023-02642-7

Abstract: The effective use of available information in extreme value analysis is critical because extreme values are scarce. Thus, using the r largest order statistics (rLOS) instead of the block maxima is encouraged. Based on the… read more here.

Keywords: order statistics; model; logistic model; largest order ... See more keywords

Automated selection of r for the r largest order statistics approach with adjustment for sequential testing

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Published in 2017 at "Statistics and Computing"

DOI: 10.1007/s11222-016-9697-3

Abstract: The r largest order statistics approach is widely used in extreme value analysis because it may use more information from the data than just the block maxima. In practice, the choice of r is critical.… read more here.

Keywords: statistics approach; largest order; order statistics; automated selection ... See more keywords