Results 71 to 80 of about 1,056 (208)
Stochastic modelling of earthquake interoccurrence times in Northwest Himalaya and adjoining regions
Geomatics, Natural Hazards & Risk, 2018 This work concentrates on the distribution of earthquake interevent times in northwest Himalaya and its adjacent regions. We consider 12 time-dependent probability distributions for analysis.
Sumanta Pasari
doaj +1 more source
Scientific African, 2020 This paper introduced a family of distributions which is flexible and capable of yielding more robust compound probability models when used in modeling real life events.
Mundher A. Khaleel +4 more
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A novel extended Gumbel Type II model with statistical inference and Covid-19 applications
Results in Physics, 2022 Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields.
Showkat Ahmad Lone +3 more
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Computational and Mathematical Methods, Volume 2026, Issue 1, 2026.This study presents a novel suite of discrete trigonometric Burr–Hatke distributions, encompassing the discrete tangent Burr–Hatke (DTBH), discrete sine Burr–Hatke (DSBH), discrete cosine Burr–Hatke (DCBH), and discrete type II tangent Burr–Hatke (DTIITBH) distributions to model count data with overdispersion and right‐skewed characteristics commonly ...
Caleb Nurideen Nambyn +4 more
wiley +1 more source
AxiomsThe exponential distribution is one of the most popular models for fitting lifetime data. This study proposes a novel generalization of the exponential distribution, referred to as the exponentiated generalized Weibull exponential, for the modeling of ...
Hadeel S. Klakattawi
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Secant Unit Gompertz Quantile Regression for Modeling Bounded Endogenous Variables
Computational and Mathematical Methods, Volume 2026, Issue 1, 2026.Modeling data that falls within the [0,1] domain is a huge task in most scientific disciplines. This is because most classical distributions do not address the issues of complex data shapes as well as managing the dynamism of extreme quantiles. The study thus developed the secant‐based extension of the unit Gompertz distribution; this distribution is a
Robert Adombire Akumbobe +3 more
wiley +1 more source
Weibull Generalized Exponential Distribution
, 2016 15 pages, 11 figures.
Mustafa, Abdelfattah +2 more
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Modeling COVID-19 Data with a Novel Extended Exponentiated Class of Distributions
Journal of Mathematics, 2022 The COVID-19 epidemic has affected every aspect of daily life since December 2019 and caused massive damage to the world. The coronavirus epidemic has affected more than 150 countries around the world. Many researchers have tried to develop a statistical
Muhammad Arif +5 more
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International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.This study introduces a new flexible family of continuous probability distributions, termed the generalized flexible family, developed for the effective modeling of cancer data. The proposed family extends the recently introduced new flexible generalized family by incorporating an additional shape parameter to enhance flexibility in capturing various ...
Justine Mutsamwira +2 more
wiley +1 more source
The Extended Exponentiated Weibull Distribution and its Applications
Statistica, 2018 In this paper, we introduce a univariate four-parameter distribution. Several known distributions like exponentiated Weibull or extended generalized exponential distribution can be obtained as special case of this distribution. The new distribution is quite flexible and can be used quite effectively in analysing survival or reliability data.
Eisa Mahmoudi +3 more
openaire +2 more sources