A CASE STUDY: ORDINAL RESPONSES WITH SPATIO-TEMPORAL DEPENDENCIES
Data structures with spatial and temporal dependencies are not uncom- mon in environmental and agronomic Øelds. We consider the modeling and estima- tion problem for these type of structures, in particular we consider proportional odds models with spatio-temporal covariables with estimation via maxi...
| Autor: | |
|---|---|
| Tipo de recurso: | informe técnico |
| Estado: | Versión publicada |
| Fecha de publicación: | 2005 |
| País: | México |
| Institución: | Centro de Investigación en Matemáticas |
| Repositorio: | Repositorio Institucional CIMAT |
| Idioma: | inglés |
| OAI Identifier: | oai:cimat.repositorioinstitucional.mx:1008/669 |
| Acceso en línea: | http://cimat.repositorioinstitucional.mx/jspui/handle/1008/669 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/MSC/Procesos de Markov info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/12 info:eu-repo/classification/cti/1208 info:eu-repo/classification/cti/120806 |
| Sumario: | Data structures with spatial and temporal dependencies are not uncom- mon in environmental and agronomic Øelds. We consider the modeling and estima- tion problem for these type of structures, in particular we consider proportional odds models with spatio-temporal covariables with estimation via maximum pseudlikeli- hood. We end by presenting a testing problem on treatment eÆects on data from a Øeld experiment on agave tequilana. |
|---|