Results 121 to 130 of about 5,727 (203)

Deriving Storm Intensity Formula Based on the Relationship between the GEV Parameters and Durations

工程科学与技术, 2012
:Generalized Extreme Value (GEV) distribution model is fitted to the annual maximum rainfall intensity data for Dongguan city and is compared with Log-Pearson-Ⅲ and Gumbel model commonly used in china .
Zhou Hao-lan
doaj  

A generalized Gumbel distribution and its parameter estimation

, 2018
In this article, main characteristics of a generalized Gumbel (GG) distribution are derived. Parameter estimation with method of moments, maximum likelihood, and Bayesian approaches are demonstrated.
Haydar Demirhan (18027460)
core  

A generalized Gumbel distribution and its parameter estimation

Communications in Statistics - Simulation and Computation, 2017
In this article, main characteristics of a generalized Gumbel (GG) distribution are derived. Parameter estimation with method of moments, maximum likelihood, and Bayesian approaches are demonstrated. Due to the ranges of its skewness and kurtosis, it is satisfactory for fitting a wide variety of datasets.
openaire   +1 more source

Estimating Parametersof Gumbel Distribution For Maximum Values By using Simulation

, 2016
In this research estimated the parameters of Gumbel distribution Type 1 for Maximum values through the use of two estimation methods:- Moments (MoM) and Modification Moments(MM) Method.
Baghdad Science Journal
core   +1 more source

Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study Indices para medir dependencia entre pruebas para diagn'ostico cl'inico: un estudio comparativo

Revista Colombiana de Estadística, 2011
In many practical situations, clinical diagnostic procedures include two or more biological traits whose outcomes are expressed on a continuous scale and are then dichotomized using a cut point.
JOS'E RAFAEL TOVAR, JORGE ALBERTO ACHCAR
doaj  

Length Biased Gumbel Distribution And Its Application To Wind Speed Data.

, 2021
The concept of length biased distribution can be employed in development of proper models for life time data. Its method is adjusting the original probability density function from real data and the expectation of those data.
Oyebanjo, Amidu Akinola, Akanbi, Olawale Basheer   +1 more
core  

Robust correlation coefficient goodness-of-fit test for the Gumbel distribution

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: A single outlier can even have a large disturbing effect on a classical statistical method that is optimal under the classical assumptions.
Abbas Mahdavi
doaj  

Bayesian Analysis of Flood Prediction Using Mixture Models of Weighted Inverse Rayleigh and Gumbel Type‐II Distributions

Journal of Flood Risk Management
This article develops a two‐component mixture model combining the weighted Inverse Rayleigh (WIR) distribution and Gumbel Type‐II distribution for the estimation and prediction of flood events.
Muhammad Ishfaq, Farzana Noor, A. A. Bhat   +2 more
doaj   +1 more source

A comparative review of generalizations of the Gumbel extreme value distribution with an application to wind speed data

, 2015
The generalized extreme value distribution and its particular case, the Gumbel extreme value distribution, are widely applied for extreme value analysis.
Silvia L. P. Ferrari (820858), Eliane C. Pinheiro (820857)   +1 more
core   +1 more source

Exponentiated Gumbel distribution for estimation of return levels of significant wave height

, 2010
The exponentiated Gumbel (EG) distribution has been proposed as a generalization of the classical Gumbel distribution. In this paper we discuss estimation of T-year return values for significant wave height in a case study and compare point estimates and
Persson, Klara,, Rydén, Jesper,
core