Publication:
Phi-Divergence test statistics applied to latent class models for binary data

Thumbnail Image
Files
miranda_phi.pdf (389.62 KB)
Official URL
https://doi.org/10.1007/978-3-031-04137-2_20
Full text at PDC
Publication Date
2023
Authors
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Citations
Google Scholar
Exportar
DC QDC MarcXML RDF MODS METS ORE-ATOM
Research Projects
Organizational Units
Journal Issue
Abstract
In this paper we present two new families of test statistics for studying the problem of goodness-of-fit of some data to a latent class model for dichotomous questions based on phi-divergence measures. We also treat the problem of selecting the best model out of a sequence of nested latent class models. In both problems, we study the asymptotic distribution of the corresponding test statistics, showing that they share the same behavior as the corresponding maximum likelihood test statistic.
Description
UCM subjects
Estadística matemática (Matemáticas)
Unesco subjects
1209 Estadística
Keywords
Citation
1. Brandt J, Hein W (2001) Polymer materials in joint surgery. In: Grellmann W, Seidler S (eds) Deformation and Fracture Behavior of Polymers. Engineering materials. Springer, Berlin Heidelberg New York 2. Che M, Grellmann W, Seidler S (1997) Appl Polym Sci 64:1079{1090 3. Kipphan H (2000) Handbook of printmedia. Springer, Berlin Heidelberg New York 4. Ross DW (1977) Lysosomes and storage diseases. MA Thesis, Columbia University, New York
URI
https://hdl.handle.net/20.500.14352/2496
Collections
Secciones de libros