<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper we will study the statistical distributions for the extreme discharges of the Danube River using kernel functions. We will also compare the results with those obtained using classical cumulative distribution functions (Pareto, Weibull, etc). </p></abstract>

In this paper we will study the statistical distributions for the extreme discharges of the Danube River using kernel functions. We will also compare the results with those obtained using classical cumulative distribution functions (Pareto, Weibull, etc).

Estimation of the Statistical Distribution Used in Hydrology Using Kernel Functions

professor, Technical University of Civil Engineering Bucharest, Mathematics and Computer Science Department

assistant professor, Technical University of Civil Engineering Bucharest, Mathematics and Computer Science Department; associate researcher, Institute for Economic Forecasting, Bucharest

professor, Technical University of Civil Engineering Bucharest, Hydrology Department

Modelling in Civil Environmental Engineering

In this paper we will study the statistical distributions for the extreme discharges of the Danube River using kernel functions. We will also compare the...

Estimation of the Statistical Distribution Used in Hydrology Using Kernel Functions

Online veröffentlicht: 12. Okt. 2013

Seitenbereich: 1 - 7

DOI: https://doi.org/10.2478/mmce-2013-0008

Schlüsselwörter
kernels, discharges, cumulative distribution functions, confidence intervals, quantiles

This content is open access.

Estimation of the Statistical Distribution Used in Hydrology Using Kernel Functions

Online veröffentlicht: 12. Okt. 2013

Seitenbereich: 1 - 7

DOI: https://doi.org/10.2478/mmce-2013-0008

Schlüsselwörterkernels, discharges, cumulative distribution functions, confidence intervals, quantiles

This content is open access.

Schlüsselwörter
kernels, discharges, cumulative distribution functions, confidence intervals, quantiles