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Activity Number: 535
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #308808
Title: Covariance Functions for a Marked Point Process
Author(s): Yen-Ning Huang*+ and Hao Zhang
Companies: Purdue University and Purdue University
Keywords: Marked point process ; Spatial Poisson process ; Nearest neighbor
Abstract:

While modeling a marked point process, a convenient and commonly used assumption is that the marks and points are independent. This assumption may not hold in practice however. We consider some dependent cases of the marks on the point process and derive explicit expressions of the corresponding covariance function for the marks. These covariance functions can be used to describe the properties of the marks. We illustrate the application of the covariance functions on the heights and diameters of limited range white oaks planted in Indiana, U.S.A.


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