Results 31 to 40 of about 30,416 (124)

Approximating the distributions of runs and patterns [PDF]

open access: yes, 2014
The distribution theory of runs and patterns has been successfully used in a variety of applications including, for example, nonparametric hypothesis testing, reliability theory, quality control, DNA sequence analysis, general applied probability and ...
Brad C Johnson, James C Fu
core   +1 more source

First-principle study on the structural, electronic and mechanical properties of High Entropy Alloy TiZrFeRu for hydrogen storage applications

open access: yesRevue des Énergies Renouvelables
High-entropy alloys are promising for hydrogen storage, especially in terms of their tunable hydrogen storage properties. Although several experimental studies, a fundamental and detailed atomistic comprehension of physical and electronic of the ...
Youcef Bouhadda   +5 more
doaj   +1 more source

Limiting entry times distribution for arbitrary null sets SETS [PDF]

open access: yes, 2019
We describe an approach that allows us to deduce the limiting return times distribution for arbitrary sets to be compound Poisson distributed. We establish a relation between the limiting return times distribution and the probability of the cluster sizes,
Haydn, N., Vaienti, S.
core   +2 more sources

Approximations related to tempered stable distributions

open access: yesModern Stochastics: Theory and Applications
In this article, we first obtain, for the Kolmogorov distance, an error bound between a tempered stable and a compound Poisson distribution (CPD) and also an error bound between a tempered stable and an α-stable distribution via Stein’s method.
Kalyan Barman   +2 more
doaj   +1 more source

Relaxation of monotone coupling conditions: Poisson approximation and beyond [PDF]

open access: yes, 2017
It is well-known that assumptions of monotonicity in size-bias couplings may be used to prove simple, yet powerful, Poisson approximation results. Here we show how these assumptions may be relaxed, establishing explicit Poisson approximation bounds ...
Daly, Fraser, Johnson, Oliver
core   +4 more sources

Strong memoryless times and rare events in Markov renewal point processes

open access: yes, 2004
Let W be the number of points in (0,t] of a stationary finite-state Markov renewal point process. We derive a bound for the total variation distance between the distribution of W and a compound Poisson distribution.
Erhardsson, Torkel
core   +2 more sources

A Gaussian Exponential Approximation to Some Compound Poisson Distributions [PDF]

open access: yes, 2017
A three parameter Gaussian exponential approximation to some compound Poisson distributions is considered. It is constructed by specifying the reciprocal of the mean excess function as a linear affine function below some threshold and a positive constant
Hürlimann, Werner
core  

One-dimensional disordered quantum mechanics and Sinai diffusion with random absorbers [PDF]

open access: yes, 2013
We study the one-dimensional Schr\"odinger equation with a disordered potential of the form $V (x) = \phi(x)^2+\phi'(x) + \kappa(x) $ where $\phi(x)$ is a Gaussian white noise with mean $\mu g$ and variance $g$, and $\kappa(x)$ is a random superposition ...
Grabsch, Aurélien   +2 more
core   +5 more sources

Compound Sums and their Applications in Finance

open access: yesJournal of Mathematical and Fundamental Sciences, 2019
Compound sums arise frequently in insurance (total claim size in a portfolio) and in accountancy (total error amount in audit populations). As the normal approximation for compound sums usually performs very badly, one may look for better methods for ...
R. Helmersr, B. Tarigan
doaj  

On the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source [PDF]

open access: yes, 2009
In this paper, we develop an explicit formula allowing to compute the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source.
Nuel, Grégory
core   +3 more sources

Home - About - Disclaimer - Privacy