## Abstract Edgeβcorrected kernelβbased estimators are proposed for the pairβcorrelation function __g(t)__. These estimators are compared by simulation methods with the existing edgeβcorrected estimator suggested by FIKSEL (1988, Statistics, 19, 67β75). The results of the simulation study suggests
Estimating Pair Correlation Functions of Planar Cluster Processes
β Scribed by Dietrich Stoyan; Helga Stoyan
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 604 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
The pair correlation function g(r) is an important tool in exploratory data analysis and model choice in point process statistics. In the case of cluster processes, the behaviour of g(r) for small r is particularly interesting. But just these values of g(r) can be estimated with difficulties only. This paper tries to show that kernel estimators yield reliable results. It is useful to work with variable band widths. An example where the points are positions of pines in a forest illustrates the application of the method.
π SIMILAR VOLUMES
The pair correlation function g 2 Γ°rΓ provides a basic geometric descriptor for many-particle systems. It must obey two necessary conditions: (i) non-negativity for all distances r, and (ii) non-negativity of its associated structure factor SΓ°kΓ for all k. Here we utilize an improved stochastic cons
The spread of a virus is an example of a dynamic process occurring on a discrete spatial arrangement. While the mean-field approximation reasonably reproduces the spreading behaviour for topologies where the number of connections per node is either high or strongly fluctuating and for those that sho