Skip to main content
padlock icon - secure page this page is secure

Kernel Estimation of the Spectral Density of Stationary Random Closed Sets

Buy Article:

$52.00 + tax (Refund Policy)


A non-parametric kernel estimator of the spectral density of stationary random closed sets is studied. Conditions are derived under which this estimator is asymptotically unbiased and mean-square consistent. For the planar Boolean model with isotropic compact and convex grains, an averaged version of the kernel estimator is compared with the theoretical spectral density.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Boolean model; asymptotic unbiasedness; mean-square consistency; non-parametric kernel estimator; spectral density; stationary random set

Document Type: Research Article

Affiliations: 1: Dept of Stochastics, University of Ulm, Germany 2: Institute of Mathematics, University of Augsburg, Germany

Publication date: March 1, 2004

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more