Results 21 to 30 of about 597,748 (343)

Multilayer shallow water models with locally variable number of layers and semi-implicit time discretization [PDF]

, 2017
We propose an extension of the discretization approaches for multilayer shallow water models, aimed at making them more flexible and efficient for realistic applications to coastal flows.
Bonaventura, Luca, Fernández-Nieto, Enrique D., Garres-Díaz, José, Narbona-Reina, Gladys   +3 more
core   +2 more sources

Discretization Based on Entropy and Multiple Scanning

Entropy, 2013
In this paper we present entropy driven methodology for discretization. Recently, the original entropy based discretization was enhanced by including two options of selecting the best numerical attribute.
Jerzy W. Grzymala-Busse
doaj   +1 more source

A Novel Discrete Generator with Modeling Engineering, Agricultural and Medical Count and Zero-Inflated Real Data with Bayesian, and Non-Bayesian Inference

Mathematics, 2023
This study introduces a unique flexible family of discrete probability distributions for modeling extreme count and zero-inflated count data with different failure rates.
Walid Emam, Yusra Tashkandy, G.G. Hamedani, Mohamed Abdelhamed Shehab, Mohamed Ibrahim, Haitham M. Yousof   +5 more
doaj   +1 more source

Discretization and Moyal brackets [PDF]

, 2001
We give a q-analysis version of a discretization procedure of Kemmoku and Saito leading to an apparently new q-Moyal type bracket.Comment: Latex, 14 ...
Carroll, Robert
core   +3 more sources

Stable cell-centered finite volume discretization for Biot equations [PDF]

, 2015
In this paper we discuss a new discretization for the Biot equations. The discretization treats the coupled system of deformation and flow directly, as opposed to combining discretizations for the two separate sub-problems. The coupled discretization has
Nordbotten, Jan Martin
core   +2 more sources

Testing normality of latent variables in the polychoric correlation

Statistica, 2014
This paper explores the feasibility of simultaneously facing three sources of complexity in Bayesian testing, namely (i) testing a parametric against a non-parametric alternative (ii) adjusting for partial observability (iii) developing a test under a ...
Carlos Almeida, Michel Mouchart
doaj   +1 more source

A New Family of Discrete Distributions with Mathematical Properties, Characterizations, Bayesian and Non-Bayesian Estimation Methods

Mathematics, 2020
In this work, we propose and study a new family of discrete distributions. Many useful mathematical properties, such as ordinary moments, moment generating function, cumulant generating function, probability generating function, central moment, and ...
Mohamed Aboraya, Haitham M. Yousof, G.G. Hamedani, Mohamed Ibrahim   +3 more
doaj   +1 more source

Lattice Discretization in Quantum Scattering [PDF]

, 1996
The utility of lattice discretization technique is demonstrated for solving nonrelativistic quantum scattering problems and specially for the treatment of ultraviolet divergences in these problems with some potentials singular at the origin in two and ...
Adhikari S K, Beg M A B, Callaway D J E, Creutz M, R M Marinho, Rebbi C, Rothe H, Ryder L H, Sadhan K Adhikari, T Frederico, Weinberg S, Wilson K G   +11 more
core   +2 more sources

Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges

Entropy, 2023
Relevant attribute selection in machine learning is a key aspect aimed at simplifying the problem, reducing its dimensionality, and consequently accelerating computation.
Wiesław Paja
doaj   +1 more source

DATA DISCRETIZATION IN PROGNOSTIC MODELS FOR EPIDEMIOLOGY

Cifra: Медико-биологические науки
After COVID-19 pandemic, the epidemilogical data prediction had become of a great importance. Since that, numerous different prognostic models, including those involving neural-network based, have been developed, applied and verified.
Elistratov S.A.
doaj   +1 more source