Poisson Process Models for a Combination of Points and Counts in Space

Poisson Process Models for a Combination of Points and Counts in Space

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A spatial point process is a stochastic model determining the locations of events in some region A aŠ‚ realsd. Events may be nests in a breeding colony of birds, tress in a forest, or cities in a country. One goal of spatial statistics is to model the underlying process and thus interpret a complicated point process through some parameter estimates based on the known locations of events from some spatial point processes.29 Table 2.11 Monte Carlo estimates for 90 = 4 and 6X = 3 when B=2000 ... 30 Table 2.12 Monte Carlo estimates for 60 = 5 and 0X = 3 when B=2000 ... 31 Table 2.13 Comparison between se(8j) and E(frj) for 9q = 3 and #1 = 3 when B= 2000anbsp;...


Title:Poisson Process Models for a Combination of Points and Counts in Space
Author:
Publisher:ProQuest - 2006
ISBN-13:

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