Results 131 to 140 of about 5,727 (203)
Gumbel–Logistic Unit Distribution with Application in Telecommunications Data Modeling
The manuscript deals with a new unit distribution that depends on two positive parameters. The distribution itself was obtained from the Gumbel distribution, i.e., by its transformation, using generalized logistic mapping, into a unit interval.
Željko Grujčić +4 more
core +1 more source
Foram analisadas sete distribuições de probabilidade Exponencial, Gama, Log-normal, Normal, Weibull, Gumbel e Beta para a chuva mensal e anual na região Centro-Sul do Ceará, Brasil.
Ítalo Nunes Silva +3 more
doaj
Linear regression analysis of COVID-19 time-series data using the Gumbel distribution
Furutani H, Hiroyasu T.
europepmc +1 more source
Simple sufficient conditions that a distribution function belongs to the domain of attraction of the Gumbel distribution and a method to determine the normalizing constants are shown.
Takahashi, Rinya
core
Estimating Parametersof Gumbel Distribution For Maximum Values By using Simulation
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.
Saleh, Hakeem Hussein Hamad
core +1 more source
Comparison of Prediction Intervals for the Gumbel Distribution [PDF]
The problem of obtaining a prediction interval at specified confidence level to contain k future observations from the Gumbel distribution, based on an observed sample from the same distribution, is considered.
Fang, Lin
core
Correction: A new extended gumbel distribution: Properties and application. [PDF]
Fayomi A +5 more
europepmc +1 more source
Flood frequency analysis of Panchganga river basin using Gumbel and Log-Pearson Type III models. [PDF]
Das S +5 more
europepmc +1 more source
Lost Relatives of the Gumbel Trick
The Gumbel trick is a method to sample from a discrete probability distribution, or to estimate its normalizing partition function. The method re- lies on repeatedly applying a random perturbation to the distribution in a particular way, each time ...
Tripuraneni, N +4 more
core
A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction. [PDF]
Aich A, Murshed MM, Hewage S, Mayeaux A.
europepmc +1 more source

