Results 81 to 90 of about 1,034 (200)

Bivariate Morgenstern Sin-Generalized Exponential Distribution Applied to Multidiscipline Real Applications

Journal of Statistical Theory and Applications (JSTA)
Recently, a trigonometric transformation of the distribution function has become an interesting way to provide versatility and adaptability in data modeling as the parameter oscillates with a change in its value, and the periodic function controls the ...
Wafaa Anwar A. Hassanein, Ayat Mohamed Sobhy   +1 more
doaj   +1 more source

On the development of new cosine-based probabilistic methods with applications to univariate and bivariate analyses of the wind speed energy. [PDF]

Heliyon, 2023
Alnssyan B, Alomair MA.
europepmc   +1 more source

On the Moments of the Aggregate Discounted Claims with Dependence Introduced by a FGM Copula [PDF]

In this paper, we investigate the computation of the moments of the compound Poisson sums with discounted claims when introducing dependence between the interclaim time and the subsequent claim size.
Etienne Marceau, Hélène Cossette, Mathieu Bargès, Stéphane Loisel   +3 more
core  

Statistical Properties of a Generalization Erlang Truncated Exponential Distribution with Applications and Its Bivariate Extension

Computational Journal of Mathematical and Statistical Sciences
Using power exponentiated family, this paper introduces the New Power Exponentiated Erlang-Truncated Exponential distribution as a new generalization of the Erlang-Truncated Exponential distribution. The suggested distribution has constant and increasing
Yassmen Y. Abdelall
doaj   +1 more source

Families of copulas closed under the construction of generalized linear means [PDF]

, 2011
We will identify sufficient and partly necessary conditions for a family of copulas to be closed under the construction of generalized linear mean values.
Christa, Florian, Klein, Ingo
core  

Some Positive Dependence Orderings involving Tail Dependence [PDF]

In this paper we discuss the properties of the orderings of positive dependence introduced by Hollander et al. (1990) as generalizing the bivariate positive dependence concepts of left-tail decreasing (LTD) and right-tail increasing (RTI) studied by ...
Colangelo Antonio
core  

The Maximum Likelihood Degree of Farlie Gumbel Morgenstern Bivariate Exponential Distribution

The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter in Farlie-Gumbel-Morgenstern bivariate exponential distribution.
Yadav, Pooja, Srivastava, Tanuja
openaire   +2 more sources

Farlie-Gumbel-Morgenstern bivariate log-normal: applications and comparison of semiparametric and parametric methods for estimating copulas

Kuwait Journal of Science
This study introduces the Farlie-Gumbel-Morgenstern bivariate log-normal (bivariate FGM-LN) distribution, which was created using the FGM copula to describe dependent skewed data.
Shakila Bashir, Bushra Masood, Muhammad Aslam   +2 more
doaj   +1 more source

An alternative statistical model for modeling the bimodal asymmetric data with properties, copulas, assessment and applications

Alexandria Engineering Journal
This study derives and investigates an extension of the Chen distribution that extends it in a new and flexible way. The well-known Chen distribution, which is renowned for its high level of adaptability and a wide variety of potential applications, was ...
Mustafa Kamal, Hebatallah H. Mohammad, Sabir Ali Siddiqui, Maryam Ibrahim Habadi, Mohammad Abiad, Badr Aloraini, Atif Ali Yassin Ali, Sara Mohamed Ahmed Alsheikh   +7 more
doaj   +1 more source

Bayesian inference for bivariate ranks

, 2018
A recommender system based on ranks is proposed, where an expert's ranking of a set of objects and a user's ranking of a subset of those objects are combined to make a prediction of the user's ranking of all objects.
Guillotte, Simon, Perron, François, Segers, Johan   +2 more
core