The generalized Pareto distribution (GPD) is often used in the statistical analysis of climate ex...
For a sample of independent and identically distributed observations, the parameters of the Gener...
A two-component generalized extreme value (TCGEV) distribution is introduced based on the assumpt...
A hurdle in the peaks-over-threshold approach for analyzing extreme values is the selection of th...
Rainfall extremes are thought to have increased over recent years. Typically linear trends have b...
A linear mixed-effects (LME) model is developed to discriminate the sources of variation in the c...
Future changes in extreme multi-day precipitation will influence the probability of floods in the...
Summary Currently the design discharges for the rivers Rhine and Meuse are based on a statistical...
Daily precipitation series from more than 1800 stations across Europe are analyzed for the fracti...
Regional frequency analysis is often used to reduce the uncertainty in the estimation of distribu...
A non-stationary index-flood model was used to analyse the 1-day summer and 5-day winter precipit...
A two-stage time-series resampling algorithm is presented that is capable of generating daily val...
Weerradars geven neerslagschattingen over grote gebieden met hoge ruimtelijke en temporele resolu...
Rain gauge data are often employed to estimate the rainfall depth for a given return period. Howe...
The Generalized Extreme Value (GEV) distribution has often been used to describe the distribution...
Weather radars give quantitative precipitation estimates (QPE) over large areas with high spatial...
The sensitivity of simulated maxima of 10-day precipitation to the set of historical base years u...
A regional GEV model with time-varying parameters is developed for modelling precipitation extrem...