Results 91 to 100 of about 2,880 (183)

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  

Alternatives to the Cox proportional hazards model: A review of additive hazards and accelerated failure time models

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract The Cox proportional hazards (PH) model remains the dominant approach in survival analysis, but it has two important limitations. First, it relies on the PH assumption, asserting that covariate effects act multiplicatively and remain constant over time.
Hein Putter, Liesbeth C. de Wreede
wiley   +1 more source

Distributions of Short‐Duration High‐Intensity Precipitation Events in the United States Under Intermediate and Pessimistic Climate Change Scenarios

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Under a warming climate, the magnitude and frequency of intense precipitation are expected to increase globally, on average. However, changes in the regional variability of short‐duration high‐intensity (SDHI) precipitation across the contiguous United States—both temporally and spatially—remain uncertain, and most projections rest on ...
Skye Leake, Alex M. Haberlie, Walker S. Ashley, James G. DiGilio Jr., Anya Aponte, Brendan C. Wallace, Vittorio A. Gensini, Allison C. Michaelis   +7 more
wiley   +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  

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 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

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  

Tests of fit for the Gumbel distribution: EDF-based tests against entropy-based tests. [PDF]

J Appl Stat, 2020
Alizadeh Noughabi H, Jarrahiferiz J.
europepmc   +1 more source

Estimating the Gumbel-Barnett Copula Parameter of Dependence

Revista Colombiana de Estadística
In this paper, we developed an empirical evaluation of four estimation procedures for the dependence parameter of the Gumbel-Barnett copula obtained from a Gumbel type I distribution.
Jennyfer Portilla Yela, José Rafael Tovar Cuevas   +1 more
doaj   +1 more source

A new quantile regression model for bounded responses: mathematical derivation, estimation, and fitting bounded datasets

Boundary Value Problems
Bounded response variables, such as rates, proportions, and indices, frequently arise in the applied sciences and require regression models that respect the unit interval support, rather than relying on Gaussian regression. In this work, we propose a new
Ohud A. Alqasem, Ahmed M. Gemeay, Dalia Kamal Alnagar, Hazar A. Khogeer, Amani Alrumayh, Eslam Hussam, Gizachew Tirite Gellow, Ali T. Hammad   +7 more
doaj   +1 more source