• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Stereological estimation of mean particle volume tensors in R³ from vertical sections
 

Stereological estimation of mean particle volume tensors in R³ from vertical sections

Options
  • Details
Description
In this chapter, we discuss stereological estimation of mean particle volume tensors in R³
from vertical sections. We consider a particle process of compact particles that can be represented as a stationary marked point process. Under the assumption that the particle distribution is invariant under rotations around a fixed axis, called the vertical axis, we show how the mean particle volume tensors can be estimated consistently (in a probabilistic sense) from observations in vertical sections through a sample of particles. In a simulation study, the new estimator has a superior behaviour compared to an earlier estimator based on observations in several optical planes.
Date of Publication
2017
Publication Type
Book Section
Subject(s)
500 Science > 510 Mathematics
Language(s)
en
Contributor(s)
Kousholt, A.
Ziegel, Johanna F.orcid-logo
Institut für Mathematische Statistik und Versicherungslehre (IMSV)
Kiderlen, M.
Jensen, E. B. Vedel
Editor(s)
Jensen, Eva B. Vedel
Kiderlen, Markus
Additional Credits
Institut für Mathematische Statistik und Versicherungslehre (IMSV)
Publisher
Springer
ISSN
0075-8434
ISBN
978-3-319-51950-0
Book Title
Tensor Valuations and their applications in Stochastic Geometry and Imaging
Access(Rights)
metadata.only
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo