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Asymptotic Properties of Takacs-Fiksel Estimation Method for GIBBS Point Processes
A Takacs-Fiksel type estimator is proposed for stationary Gibbs point processes when many independent realizations are available. Strong consistency and asymptotic normality of this estimator are proved. Furthermore, strong consistency of the estimator is obtained in the single realization case.
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Published in: | Statistics (Berlin, DDR) DDR), 1997-01, Vol.30 (1), p.69-89 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A Takacs-Fiksel type estimator is proposed for stationary Gibbs point processes when many independent realizations are available. Strong consistency and asymptotic normality of this estimator are proved. Furthermore, strong consistency of the estimator is obtained in the single realization case. |
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ISSN: | 0233-1888 1029-4910 |
DOI: | 10.1080/02331889708802601 |