Results 31 to 40 of about 256,571 (266)

On rough convergence variables of triple sequences

open access: yesITM Web of Conferences, 2018
Triple sequence convergence has an extremly important position in the basic theory of mathematics. The present manuscript contains four types of convergence concept of convergence almost surely, convergence incredibility, trust convergence in mean and ...
Ozdemir M. Kemal, Esi Ayhan, Esi Ayten
doaj   +1 more source

The freight landscape: Convergence and divergence in urban freight distribution

open access: yesJournal of Transport and Land Use, 2017
The paper introduces the concept of the freight landscape: the spatial distribution of freight activity and intensity in a metropolitan area. Using population and employment density information, a freight landscape matrix is calculated for four major ...
Jean-Paul Rodrigue   +2 more
doaj   +1 more source

Research on the Source Convergence Diagnose Method of Monte Carlo Critical Calculation for Loosely Coupled System [PDF]

open access: yesEPJ Web of Conferences
In order to improve the reliability and accuracy of Monte Carlo program in the critical safety calculation of loosely coupled systems, an improved Shannon entropy diagnose method considering the distribution of fission sources and the statistical bias is
Cheng Yuting   +5 more
doaj   +1 more source

Convergence in Differential Distributions [PDF]

open access: yes, 1995
Differential cryptanalysis is a general attack based on the notion of differences. The success of the attack is derived from the probability of a differential. While it has been observed that the distribution of differentials can be modeled as a Markov chain, there have been few analyses that take advantage of this observation because of the ...
openaire   +1 more source

Discrete Limit Bohr–Jessen Type Theorem for the Epstein Zeta-Function in Short Intervals

open access: yesAxioms
We prove a probabilistic limit theorem for the Epstein zeta-function ζ(s;Q) in the interval [N,N+M] as N→∞, using discrete shifts ζ(σ+ikh;Q), where h>0 and σ>n−12 are fixed. Here, Q is a positive-definite n×n matrix, and the interval length M satisfies h−
Antanas Laurinčikas, Renata Macaitienė
doaj   +1 more source

Probability Distributions Approximation via Fractional Moments and Maximum Entropy: Theoretical and Computational Aspects

open access: yesAxioms, 2023
In the literature, the use of fractional moments to express the available information in the framework of maximum entropy (MaxEnt) approximation of a distribution F having finite or unbounded positive support, has been essentially considered as a ...
Pier Luigi Novi Inverardi, Aldo Tagliani
doaj   +1 more source

A distributional representation of strip analytic functions

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1982
A strip analytic function converging in the D′ topology to certain boundary values (from the interior of the strip) is represented as the difference of two generalized Cauchy integrals.
Dragiŝa Mitrović
doaj   +1 more source

Shannon Entropy Estimation in ∞-Alphabets from Convergence Results: Studying Plug-In Estimators

open access: yesEntropy, 2018
This work addresses the problem of Shannon entropy estimation in countably infinite alphabets studying and adopting some recent convergence results of the entropy functional, which is known to be a discontinuous function in the space of probabilities in &
Jorge F. Silva
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Dependent Samples in Empirical Estimation of Stochastic Programming Problems

open access: yesAustrian Journal of Statistics, 2016
Stochastic optimization models are built with the assumption that the underlying probability measure is entirely known. This is not true in practice, however: empirical approximation or estimates are used instead.
Vlasta Kaňková, Michal Houda
doaj   +1 more source

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