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.
| Original language | English |
|---|---|
| Journal | Metrika |
| Volume | 76 |
| Issue number | 5 |
| Pages (from-to) | 697-706 |
| Number of pages | 10 |
| ISSN | 0026-1335 |
| DOIs | |
| Publication status | Published - Jul 2013 |