Renshaw, E. and Mateu, J. and Saura, F. (2007) Disentangling mark/point interaction in marked-point processes. Computational Statistics and Data Analysis, 51 (6). pp. 3123-3144. ISSN 0167-9473Full text not available in this repository. Request a copy from the Strathclyde author
In many spatial situations, not only do the point locations of mark variables (e.g. tree heights) play a key role in the underlying process generating mechanism, but there can be interdependence between the marks and points themselves. Although Monte Carlo frequency-domain analyses can separate mark and point structure, theoretical advances for marks have so far related to the conditional mark spectrum based on a given point structure. A 'discrepancy function' is therefore developed which isolates the spatial structure of the marks alone, and involves a harmonic decomposition of the mark frequencies. The concept is introduced via various simulated examples based on mark cosine waves and thinned point processes, with particular attention given to the construction of sequential and simultaneous search procedures for developing parameter estimates. The procedure is then applied to Spanish daily ozone data with missing values, a spatial growth-interaction process, and a classic longleaf pine data set from the Wade Tract in Georgia, USA.
|Keywords:||area interaction, discrepancy function, harmonic decomposition, mark periodograms, minimisation techniques, Ozone, growth-interaction processes, statistics, data analysis, Probabilities. Mathematical statistics, Computational Theory and Mathematics, Computational Mathematics, Applied Mathematics, Statistics and Probability|
|Subjects:||Science > Mathematics > Probabilities. Mathematical statistics|
|Department:||Faculty of Science > Mathematics and Statistics|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||30 Nov 2007|
|Last modified:||22 Mar 2017 09:49|