Published July 2008
| Version v1
Journal article
The probability distribution associated with the dichotomic Markov process
Creators
- 1. Computational Physics and Geophysics, Department of Earth Science and Engineering, Imperial College of Science, Technology and Medicine, Prince Consort Road, London SW7 2BP (United Kingdom)
Description
We have calculated the probability distribution function for the dichotomic Markov process using the work of Pomraning [Linear kinetic theory and particle transport in stochastic mixtures. Singapore: World Scientific; 1991] and have studied the rate of convergence to this exact form as the number of terms in a series approximation is increased. Each term in the series involves an additional stochastic moment in the hierarchy of moments. It is observed that convergence is fast near the source but, as the distance from the source increases, more and more moments are required to obtain a specified accuracy
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jqsrt.2008.02.001Additional details
Identifiers
- DOI
- 10.1016/j.jqsrt.2008.02.001;
- PII
- S0022-4073(08)00029-0;
Publishing Information
- Journal Title
- Journal of Quantitative Spectroscopy and Radiative Transfer
- Journal Volume
- 109
- Journal Issue
- 10
- Journal Page Range
- p. 1771-1777
- ISSN
- 0022-4073
- CODEN
- JQSRAE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40045423
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- APPROXIMATIONS; CONVERGENCE; DISTRIBUTION FUNCTIONS; MARKOV PROCESS; PROBABILITY
- Descriptors DEC
- CALCULATION METHODS; FUNCTIONS; STOCHASTIC PROCESSES
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.