The application of the Monte Carlo method on the estimation in Gumbel extreme value distribution was studied. The Gumbel extreme value distribution is used to estimate the flood flow of specific return period for the design of flood mitigation project. This paper is a programming effort (1) to estimate the parameters of Gumbel distribution using the observed data and (2) to provide a random variate generating subroutine to generate random samples and order statistics of a Gumbel distribution random variable. The mean squared error is used to measure the accuracy of the estimation method. Finally, an example of the use of these programs is given to illustrate application in the analysis of a hydrologic system
Estimation of the probability of occurrence of future flood events at one or more locations across ...
Long term historical records of hydrological information such as rainfall and runoff data form the b...
Not AvailableA random variable can take very large or very small values known as extreme values. In ...
The problems encountered when empirical fit is used as the sole criterion for choosing a distributio...
The flood magnitude for a given frequency or return period is estimated by fitting a...
A program (GUMBEL) has been written in QBASIC language to carry out the mathematical procedure for p...
>Magister Scientiae - MScThis study sought to identify and fit the appropriate extreme value distrib...
Five different probability distributions, proposed particularly for flood frequency analysis, have b...
The thesis is focused on extreme value distributions and their applications. Firstly, basics of the ...
The existence of an upper limit for extremes of quantities in the earth sciences, e.g. for river dis...
Extreme value theory is used as a basis for deriving a distribution function for flood frequency ana...
An improved method to estimate the probability of extreme events from independent observations is pr...
A utility developed for the Windows operating system enables easy visual curve fitting of the genera...
ABSTRACT: In design, one often needs to estimate extreme quantiles for use as design values. Fitting...
This thesis focuses on the validation and description of the Gumbel distribution. Since this is a sc...
Estimation of the probability of occurrence of future flood events at one or more locations across ...
Long term historical records of hydrological information such as rainfall and runoff data form the b...
Not AvailableA random variable can take very large or very small values known as extreme values. In ...
The problems encountered when empirical fit is used as the sole criterion for choosing a distributio...
The flood magnitude for a given frequency or return period is estimated by fitting a...
A program (GUMBEL) has been written in QBASIC language to carry out the mathematical procedure for p...
>Magister Scientiae - MScThis study sought to identify and fit the appropriate extreme value distrib...
Five different probability distributions, proposed particularly for flood frequency analysis, have b...
The thesis is focused on extreme value distributions and their applications. Firstly, basics of the ...
The existence of an upper limit for extremes of quantities in the earth sciences, e.g. for river dis...
Extreme value theory is used as a basis for deriving a distribution function for flood frequency ana...
An improved method to estimate the probability of extreme events from independent observations is pr...
A utility developed for the Windows operating system enables easy visual curve fitting of the genera...
ABSTRACT: In design, one often needs to estimate extreme quantiles for use as design values. Fitting...
This thesis focuses on the validation and description of the Gumbel distribution. Since this is a sc...
Estimation of the probability of occurrence of future flood events at one or more locations across ...
Long term historical records of hydrological information such as rainfall and runoff data form the b...
Not AvailableA random variable can take very large or very small values known as extreme values. In ...