Search Results - subject:"Distribution function"

Shibata, Hiroshi - In: Physica A: Statistical Mechanics and its Applications 313 (2002) 3, pp. 381-388

The static aspects of the statistics for the phase turbulence (PT) are studied in this paper. Their dynamical aspects for the PT were made clear in the previous paper. The dynamics have predicted that the statistics of the PT deviate from the large deviation statistics. In this paper, the...

Persistent link: https://www.econbiz.de/10010590753

Fractal von Neumann entropy

da Cruz, Wellington - In: Physica A: Statistical Mechanics and its Applications 313 (2002) 3, pp. 446-452

We consider the fractal von Neumann entropy associated with the fractal distribution function and we obtain for some …

Persistent link: https://www.econbiz.de/10010590988

Kinetics of homogeneous binary condensation at the stage of formation of the bulk of the liquid phase

Djikaev, Y.S.; Grinin, A.P.; Kuni, F.M. - In: Physica A: Statistical Mechanics and its Applications 305 (2002) 3, pp. 387-403

The second stage of homogeneous binary condensation is considered. It is during this stage, following the stage of nucleation, that the bulk of the liquid phase is formed. A kinetic theory of homogeneous binary condensation at this stage is developed. Taking into account the depletion of the...

Persistent link: https://www.econbiz.de/10011057580

Quantum corrections to the distribution function of particles over momentum in dense media

Starostin, A.N.; Mironov, A.B.; Aleksandrov, N.L.; … - In: Physica A: Statistical Mechanics and its Applications 305 (2002) 1, pp. 287-296

A simple derivation of the Galitskii–Yakimets distribution function over momentum is presented. For dense plasmas it … contains the law ∼p−8 as a quantum correction to the classical Maxwellian distribution function at large momenta. The integral … quantum corrections to the distribution function of particles is expressed via the Fourier transform of the wave function in …

Persistent link: https://www.econbiz.de/10011057887

Stochastic renormalization group in percolation: I. fluctuations and crossover

Bazant, Martin Z. - In: Physica A: Statistical Mechanics and its Applications 316 (2002) 1, pp. 29-55

A generalization of the Renormalization Group, which describes order-parameter fluctuations in finite systems, is developed in the specific context of percolation. This “Stochastic Renormalization Group” (SRG) expresses statistical self-similarity through a non-stationary branching process....

Persistent link: https://www.econbiz.de/10011060819

Molecular dynamics simulations of oxygen ion diffusion in yttria-stabilized zirconia

Pramananda Perumal, T.; Sridhar, V.; Murthy, K.P.N.; … - In: Physica A: Statistical Mechanics and its Applications 309 (2002) 1, pp. 35-44

distribution function. We find that the peak height is smaller at higher temperature, due to the volume expansion of the YSZ …

Persistent link: https://www.econbiz.de/10011063697

Living Standards and Economic Vulnerability in Turkey between 1987 and 1994

Yemtsov, Ruslan - Institute for the Study of Labor (IZA) - 2001

Until recently, poverty was a relatively unexplored field of studies in Turkey. This is one of the first attempts outside Turkey to use household survey data from two nationally representative surveys conducted in 1987 and 1994 to get a picture of poverty and its main driving forces. The 1994...

Persistent link: https://www.econbiz.de/10005703713

Estimating the Distribution Function of a Stationary Process Involving Measurement Errors

Ioannides, D.A.; Papanastassiou, D.P. - In: Statistical Inference for Stochastic Processes 4 (2001) 2, pp. 181-198

Persistent link: https://www.econbiz.de/10005616068

Goodness-Of-Fit Tests for the Exponential and the Normal Distribution Based on the Integrated Distribution Function

Klar, Bernhard - In: Annals of the Institute of Statistical Mathematics 53 (2001) 2, pp. 338-353

Persistent link: https://www.econbiz.de/10005616441

Nonparametric Estimation of the Dependence Function in Bivariate Extreme Value Distributions

Jiménez, Javier Rojo; Villa-Diharce, Enrique; Flores, … - In: Journal of Multivariate Analysis 76 (2001) 2, pp. 159-191

The paper considers the problem of estimating the dependence function of a bivariate extreme survival function with standard exponential marginals. Nonparametric estimators for the dependence function are proposed and their strong uniform convergence under suitable conditions is demonstrated....

Persistent link: https://www.econbiz.de/10005153220