EBSCO Logo
Connecting you to content on EBSCOhost
Results
Title

Regression models for Boolean random sets.

Authors

Khazaee, M.; Shafie, K.

Abstract

In this paper we consider the regression problem for random sets of the Boolean-model type. Regression modeling of the Boolean random sets using some explanatory variables are classified according to the type of these variables as propagation, growth or propagation-growth models. The maximum likelihood estimation of the parameters for the propagation model is explained in detail for some specific link functions using three methods. These three methods of estimation are also compared in a simulation study.

Subjects

SET theory; BOOLEAN algebra; REGRESSION analysis; MATHEMATICAL models; ESTIMATION theory

Publication

Journal of Applied Statistics, 2006, Vol 33, Issue 5, p557

ISSN

0266-4763

Publication type

Academic Journal

DOI

10.1080/02664760600585683

EBSCO Connect | Privacy policy | Terms of use | Copyright | Manage my cookies
Journals | Subjects | Sitemap
© 2025 EBSCO Industries, Inc. All rights reserved