Universidad Complutense de Madrid
E-Prints Complutense

A more general methodology for fitting global cross-ratio models for discrete longitudinal responses

Impacto

Descargas

Último año

Pardo Llorente, María del Carmen y Alonso Sanz, Rosa (2014) A more general methodology for fitting global cross-ratio models for discrete longitudinal responses. Statistics: A Journal of Theoretical and Applied Statistics, 48 (5). pp. 1071-1091. ISSN 0233-1888

[img] PDF
Restringido a Sólo personal autorizado del repositorio

662kB

URL Oficial: http://www.tandfonline.com/doi/abs/10.1080/02331888.2013.801481#.VM9nsmiG9qU



Resumen

In this paper, we focus on repeated measurement problems, comprising an interesting research area in statistics. We study longitudinal data which arise when outcomes are observed repeatedly on each experimental subject at several points. We focus on a marginal approach for this type of data with lack of independence among the observations proposed by Dale [Global cross-ratio models for bivariate, discrete, ordered responses. Biometrics. 1986;42(4):909-917] for bivariate, discrete, ordered responses. We propose an alternative estimation based on divergence measures to the full likelihood method proposed in that paper. Finally, a wide simulation study and a data example that illustrates the new methodology is provided.


Tipo de documento:Artículo
Palabras clave:Longitudinal data, Global cross-ratio, Ordinal data,Minimum divergence estimator
Materias:Ciencias > Matemáticas > Estadística matemática
Código ID:28162
Depositado:10 Feb 2015 09:27
Última Modificación:22 Abr 2016 07:48

Descargas en el último año

Sólo personal del repositorio: página de control del artículo