Abstract
In this paper we introduce an instance of the well-know Neyman–Scott cluster process model with clusters having a long tail behaviour. In our model the offspring points are distributed around the parent points according to a circular Cauchy distribution. Using a modified Cramér-von Misses test statistic and the simulated pointwise envelopes it is shown that this model fits better than the Thomas process to the frequently analyzed long-leaf pine data-set.
Originalsprog | Engelsk |
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Tidsskrift | Metrika |
Vol/bind | 76 |
Udgave nummer | 5 |
Sider (fra-til) | 697-706 |
Antal sider | 10 |
ISSN | 0026-1335 |
DOI | |
Status | Udgivet - jul. 2013 |