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Estimating the law of randomly moving particles by counting

Published online by Cambridge University Press:  14 July 2016

Philip McDunnough
Philip McDunnough*
Affiliation:
University of Toronto
*
∗ Postal address: Department of Statistics, University of Toronto, Toronto, Ontario, Canada M5S1A1.
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Abstract

The fluctuation of the counts of particles in m regions are used to yield an estimate of a fundamental motion parameter. The effect of varying m on the precision of the estimation method is considered. An exact analysis and simulation of the Fürth pedestrian vector process is presented.

Keywords

PARTICLE FLUCTUATIONPOINT PROCESSSTATISTICAL PHYSICSVARIATE- DIFFERENCES

Information

Type
Research Papers
Information
Journal of Applied Probability , Volume 16 , Issue 1 , March 1979, pp. 25 - 35
Copyright
Copyright © Applied Probability Trust 1979 

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