Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-24T07:54:26.148Z Has data issue: false hasContentIssue false

A limit theorem for statistics of spatial data

Published online by Cambridge University Press:  01 July 2016

Adrian Baddeley*
Affiliation:
University of Cambridge
*
Postal address: Statistical Laboratory, 16 Mill Lane, Cambridge CB2 1SB, U.K.

Abstract

A large class of statistics of planar and spatial data is closely connected with empirical distributions, which estimate ‘ergodic’ distributions of stationary random sets. The main result is a functional limit theorem concerning the deviation of the empirical distribution from the ‘true’ one. Examples in mathematical morphology are given.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1980 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
2. Cowan, R. (1978) The use of the ergodic theorems in random geometry. Suppl. Adv. Appl. Prob. 10, 4757.CrossRefGoogle Scholar
3. Deo, C. M. (1975) A functional central limit theorem for stationary random fields. Ann. Prob. 3, 708715.Google Scholar
4. Mardia, K. V. (1972) Statistics of Directional Data. Academic Press, New York.Google Scholar
5. Matheron, G. (1975) Random Sets and Integral Geometry. Wiley, New York.Google Scholar
6. Miles, R. E. (1961) Random Polytopes. , University of Cambridge.Google Scholar
7. Miles, R. E. (1971) Poisson flats in Euclidean spaces, II. Adv. Appl. Prob. 3, 143.Google Scholar
8. Miles, R. E. (1973) The various aggregates of random polygons determined by random lines in a plane. Adv. Math. 10, 256290.Google Scholar
9. Ripley, B. D. (1975) Modelling spatial patterns. J. R. Statist. Soc. B 39, 172212.Google Scholar
10. Sen, P. K. (1971) A note on weak convergence of empirical processes for sequences of ϕ-mixing random variables. Ann. Math. Statist. 42, 21312133.CrossRefGoogle Scholar
11. Serra, J. (1969) Introduction à la Morphologie Mathématique. No3 des Cahiers du Centre de Morphologie Mathématique de Fontainebleau.Google Scholar