Joint estimators for the specific intrinsic volumes of stationary random sets
Stationary random closed sets [Xi] in are considered whose realizations belong to the extended convex ring. A new approach is proposed to joint estimation of the specific intrinsic volumes of [Xi], including the specific Euler-Poincaré characteristic , the specific surface area , and the volume fraction of [Xi]. Nonparametric estimators are constructed, which can be represented by integrals of some stationary random fields. This implies in particular that these estimators are unbiased. Moreover, conditions are derived which ensure that they are mean-square consistent. A consistent estimator for their asymptotic covariance matrix is derived.
Year of publication: |
2005
|
---|---|
Authors: | Schmidt, Volker ; Spodarev, Evgueni |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 115.2005, 6, p. 959-981
|
Publisher: |
Elsevier |
Keywords: | Stochastic geometry Random closed set Volume fraction Specific surface area Euler-Poincare characteristic Stationary random field Nonparametric estimation Unbiasedness Consistency Asymptotic normality |
Saved in:
Saved in favorites
Similar items by person
-
Differences in European mortality rates : a geometric approach on the age-period plane
Christiansen, Marcus C., (2015)
-
Angebotsorientierte Planung der Bildungspolitik in der Bundesrepublik
Schmidt, Volker, (1971)
-
Schmidt, Volker, (1993)
- More ...