Results 31 to 40 of about 561,804 (322)

Asymptotic Capture-Number and Island-Size Distributions for One-Dimensional Irreversible Submonolayer Growth

, 2003
Using a set of evolution equations [J.G. Amar {\it et al}, Phys. Rev. Lett. {\bf 86}, 3092 (2001)] for the average gap-size between islands, we calculate analytically the asymptotic scaled capture-number distribution (CND) for one-dimensional ...
A.D. Gates, A.D. Gates, A.D. Gates, C. Ratsch, D.D. Vvedensky, D.D. Vvedensky, F.G. Gibou, J. G. Amar, J.A. Blackman, J.A. Venables, J.A. Venables, J.G. Amar, J.G. Amar, J.G. Amar, J.G. Amar, J.G. Amar, J.W. Evans, J.W. Evans, M. N. Popescu, M. von Smoluchowski, M. von Smoluchowski, M.C. Bartelt, M.C. Bartelt, M.C. Bartelt, M.N. Popescu, P.A. Mulheran, P.A. Mulheran, P.A. Mulheran, T.R. Linderoth, Y.W. Mo   +29 more
core   +1 more source

Maximum likelihood estimation in the non-ergodic fractional Vasicek model

Modern Stochastics: Theory and Applications, 2019
We investigate the fractional Vasicek model described by the stochastic differential equation $d{X_{t}}=(\alpha -\beta {X_{t}})\hspace{0.1667em}dt+\gamma \hspace{0.1667em}d{B_{t}^{H}}$, ${X_{0}}={x_{0}}$, driven by the fractional Brownian motion ${B^{H}}$
Stanislav Lohvinenko, Kostiantyn Ralchenko   +1 more
doaj   +1 more source

Explicit Gaussian Variational Approximation for the Poisson Lognormal Mixed Model

Mathematics, 2022
In recent years, the Poisson lognormal mixed model has been frequently used in modeling count data because it can accommodate both the over-dispersion of the data and the existence of within-subject correlation.
Xiaoping Shi, Xiang-Sheng Wang, Augustine Wong   +2 more
doaj   +1 more source

Asymptotic fitness distribution in the Bak-Sneppen model of biological evolution with four species

, 2012
We suggest a new method to compute the asymptotic fitness distribution in the Bak-Sneppen model of biological evolution. As applications we derive the full asymptotic distribution in the four-species model, and give an explicit linear recurrence relation
Schlemm, Eckhard
core   +1 more source

Random intersection graph process

, 2013
We introduce a random intersection graph process aimed at modeling sparse evolving affiliation networks that admit tunable (power law) degree distribution and assortativity and clustering coefficients.
Bloznelis, Mindaugas, Karonski, Michal
core   +1 more source

Estimation of a discrete monotone distribution [PDF]

, 2009
We study and compare three estimators of a discrete monotone distribution: (a) the (raw) empirical estimator; (b) the "method of rearrangements" estimator; and (c) the maximum likelihood estimator.
Jankowski, Hanna K., Wellner, Jon A.
core   +2 more sources

The Limit Properties of Maxima of Stationary Gaussian Sequences Subject to Random Replacing

Mathematics, 2023
In applications, missing data may occur randomly and some relevant datum are often used to replace the missing ones. This article mainly explores the influence of the degree of dependence of stationary Gaussian sequences on the joint asymptotic ...
Yuwei Li, Zhongquan Tan
doaj   +1 more source

Parametrization of the Davis Growth Model using data of crossbred Zebu cattle

Scientia Agricola
: The system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds.
Adriele Giaretta Biase, Carlos Tadeu dos Santos Dias, Luís Gustavo Barioni, Tiago Zanett Albertini, Lucieta Guerreiro Martorano, James W. Oltjen, Dante Pazzanese Duarte Lanna, Patrícia Perondi Anchão Oliveira, Sérgio Raposo de Medeiros, Roberto Augusto de Almeida Torres Júnior   +9 more
doaj   +1 more source

The Confidence Interval of the Estimator of the Periodic Intensity Function in the Presence of Power Function Trend on the Nonhomogeneous Poisson Process

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021
The nonhomogeneous Poisson process is one of the most widely applied stochastic processes. In this article, we provide a confidence interval of the intensity estimator in the presence of a periodic multiplied by trend power function.
Ikhsan Maulidi, Bonno Andri Wibowo, Nina Valentika, Muhammad Syazali, Vina Apriliani   +4 more
doaj   +1 more source

Testing the Sphericity of a covariance matrix when the dimension is much larger than the sample size [PDF]

, 2016
This paper focuses on the prominent sphericity test when the dimension $p$ is much lager than sample size $n$. The classical likelihood ratio test(LRT) is no longer applicable when $p\gg n$.
Li, Zeng, Yao, Jianfeng
core   +2 more sources