Kernel quantite function estimator for flood frequency analysis

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

A kernel estimator (KQ) of the quantile function is presented here. Boundary kernels are used for extrapolation of tail quantiles. The bandwidth of the estimator is chosen using an automatic, “plug‐in” method. Confidence intervals for the estimated quantile are estimated by bootstrapping. Comparisons of the estimator with selected tail probability estimators are offered. The KQ estimator presented here is shown to be competitive with other estimators.

Original languageEnglish
Pages (from-to)3095-3103
Number of pages9
JournalWater Resources Research
Volume30
Issue number11
DOIs
StatePublished - Nov 1994

Fingerprint

Dive into the research topics of 'Kernel quantite function estimator for flood frequency analysis'. Together they form a unique fingerprint.

Cite this