On the Estimation of the Nearest Neighbour Distribution, G(t), for Point Processes
- 1 January 1990
- journal article
- research article
- Published by Wiley in Biometrical Journal
- Vol. 32 (7) , 863-876
- https://doi.org/10.1002/bimj.4710320715
Abstract
A new method is proposed for estimating G(t), the distribution function of the distance from an object to its nearest neighbour in a spatial point process. The new method makes more complete use of the information available and has a smaller mean squared error than that of the existing alternatives. The method appears equally effective with random, clustered and regular patterns.Keywords
This publication has 6 references indexed in Scilit:
- Edge‐corrected Estimators for the Reduced Second Moment Measure of Point ProcessesBiometrical Journal, 1989
- Edge-corrected density estimators for point processesStatistics, 1988
- On Parameter Estimation and Goodness-of-Fit Testing for Spatial Point PatternsBiometrics, 1979
- A Procedure For Assessing Point Patterns Without Reference To Area Or DensityThe Professional Geographer, 1975
- Robust density estimation using distance methodsBiometrika, 1975
- Statistical Approach to Problems of CosmologyJournal of the Royal Statistical Society Series B: Statistical Methodology, 1958