ABSTRACT 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. The study utilizes 29 years (1990–2018) of flood data from the Federal Flood Commission (FFC) of Pakistan for the Jhelum River, using two gauging ...
Muhammad Ishfaq +2 more
wiley +1 more source
The inverse Weibull (IW) distribution can be applied to a wide range of situations including applications in ecology, medicine, and reliability. Moreover, IW distribution gives a good fit to survival data such as the times to breakdown of an insulating ...
Hiba Z Muhammed, Ehab M. Almetwally
doaj +1 more source
ABSTRACT With global climate change and human activities, environmental uncertainties are increasing, and extreme flood events are occurring more frequently. The reliability of traditional hydrological frequency analysis theories, based on the assumption of stationarity, is being increasingly questioned.
Yue Guo +5 more
wiley +1 more source
How Unusual Was the Paleocene‐Eocene Thermal Maximum?
Abstract The Paleocene‐Eocene Thermal Maximum (PETM) was an extreme fluctuation of Earth's climate and a potential analog for future unmitigated anthropogenic climate change, but whose cause is debated. We show that fluctuations in Cenozoic benthic foraminiferal δ13 ${\delta }^{13}$C and δ18 ${\delta }^{18}$O follow a Laplace distribution. We present a
B. B. Cael, G. L. Foster
wiley +1 more source
Development and Applications of a New Hybrid Weibull-Inverse Weibull Distribution
This study introduces and applies a novel statistical model known as the hybrid Weibull inverse Weibull (HWIW) distribution, which combines the characteristics of the Weibull and inverse Weibull distributions to provide a more flexible model for representing real-world data, especially those characterized by asymmetry or extreme values.
Nooruldeen A. Noori +2 more
openaire +1 more source
The graphical method for goodness of fit test in the inverse Weibull distribution based on multiply type-II censored samples. [PDF]
Kang SB, Han JT.
europepmc +1 more source
Bayesian and non-Bayesian estimation of the bivariate inverse Weibull distribution parameters using ranked set sampling with concomitant variable. [PDF]
Muhammed HZ, Shaaban M.
europepmc +1 more source
Signed log-likelihood ratio test for the scale parameter of Poisson Inverse Weibull distribution with the development of PIW4LIFETIME web application. [PDF]
Yodnual S, Chumnaul J.
europepmc +1 more source
Exponential-Inverse Exponential[Weibull]: A New Distribution
Mahmoud Riad Mahmoud +2 more
openaire +1 more source
Predicting extreme thermal degradation of ascorbic acid (Vitamin C) using Bayesian-Inverse Weibull models: Applications in stability analysis and process optimization. [PDF]
Azeem R, Aslam M, Mehmood T, Al-Essa LA.
europepmc +1 more source

