A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES

A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES

We study nonparametric estimation of the length distribution for stationary line segment processes in the d-dimensional Euclidean space. Several methods have been proposed in the literature. We review different approaches (Horvitz-Thompson type estimator, reduced-sample estimator, Kaplan-Meier estim...

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Bibliographic Details
Main Authors: Zbynek Pawlas, Marketa Zikmundova
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2019-07-01
Series:Image Analysis and Stereology
Subjects:
Horvitz-Thompson estimator
Kaplan-Meier estimator
line segment process
nonparametric maximum likelihood estimator
reduced-sample estimator
SRE algorithm
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/1889

Internet

https://www.ias-iss.org/ojs/IAS/article/view/1889

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