Abstract
A useful tool while analysing spatial point patterns is the pair correlation function (e.g. Fractals, Random Shapes and Point Fields, Wiley, New York, 1994). In practice, this function is often estimated by some nonparametric procedure such as kernel smoothing, where the smoothing parameter (i.e. bandwidth) is often determined arbitrarily. In this article, a data-driven method for the selection of the bandwidth is proposed. The efficacy of the proposed approach is studied through both simulations and an application to a forest data example.
Original language | English (US) |
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Pages (from-to) | 336-346 |
Number of pages | 11 |
Journal | Scandinavian Journal of Statistics |
Volume | 34 |
Issue number | 2 |
DOIs | |
State | Published - Jun 1 2007 |
Externally published | Yes |
Keywords
- Composite likelihood
- Pair correlation function
- Spatial point process
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty