Results 61 to 70 of about 164 (136)

On bivariate Archimedean copulas with fractal support

Dependence Modeling
Due to their simple analytic form (bivariate) Archimedean copulas are usually viewed as very smooth and handy objects, which should distribute mass in a fairly regular and certainly not in a pathological way. Building upon recently established results on
Sánchez Juan Fernández, Trutschnig Wolfgang   +1 more
doaj   +1 more source

On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution

Journal of Statistical Theory and Applications (JSTA), 2018
Characterizations of probability distributions play important roles in probability and statistics. Before a particular probability distribution model is applied to fit the real world data, it is essential to confirm whether the given probability ...
M. Shakil, M. Ahsanullah, B. M. Golam Kibria   +2 more
doaj   +1 more source

The type II exponentiated half logistic-odd Burr X-G power series class of distributions with applications. [PDF]

Heliyon, 2023
Dingalo N, Oluyede B, Chipepa F.
europepmc   +1 more source

Some new findings on the survival Rényi entropy and application of COVID-19 data. [PDF]

Results Phys, 2021
Mohamed MS, Almohaimeed A, Abd El-Raouf MM.   +2 more
europepmc   +1 more source

Constructions of copulas with given diagonal (and opposite diagonal) sections and some generalizations

Dependence Modeling, 2018
We review various methods for constructing bivariate copulas with given diagonal sections from seminal work to the most recent research on copulas with given diagonal and opposite diagonal sections.
Fernández-Sánchez Juan, Úbeda-Flores Manuel   +1 more
doaj   +1 more source

On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains. [PDF]

Entropy (Basel), 2023
Thankamani P, Sebastian N, Haubold HJ.
europepmc   +1 more source

Estimating the parameters of a dependent model and applying it to environmental data set. [PDF]

J Appl Stat, 2023
Mohtashami-Borzadaran V, Amini M, Ahmadi J.   +2 more
europepmc   +1 more source

Introducing the new arcsine-generator distribution family: An in-depth exploration with an illustrative example of the inverse weibull distribution for analyzing healthcare industry data

Journal of Radiation Research and Applied Sciences
The study is about a novel Arcsin-function based generator of new families of distributions. We chose the inverse Weibull distribution as the reference distribution to see if the generator could be employed.
Tabassum Naz Sindhu, Anum Shafiq, Muhammad Bilal Riaz, Tahani A. Abushal, Hijaz Ahmad, Ehab M. Almetwally, Sameh Askar   +6 more
doaj   +1 more source

The unit log-log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications. [PDF]

J Appl Stat, 2023
Korkmaz MÇ, Korkmaz ZS.
europepmc   +1 more source

A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications. [PDF]

J Appl Stat, 2022
Eliwa MS, El-Morshedy M.
europepmc   +1 more source