Published
2007-01-01
UNA INTRODUCCIÓN A LOS DISEÑOS ÓPTIMOS
AN INTRODUCTION TO OPTIMAL DESIGNS
Keywords:
función de información, matriz de información, criterios de optimalidad, teoremas de equivalencia, modelos de regresión no lineal (es)Information function, Information matrix, Optimality criteria, Equivalence theorems, Nonlinear regression models (en)
Downloads
Introducimos varios conceptos utilizados en la teoría de diseños de experimentos óptimos. Definimos criterios de optimalidad utilizados en esta área y exploramos sus propiedades. Se listan algunos resultados importantes para encontrar diseños óptimos para modelos lineales y no lineales, entre ellos teoremas de equivalencia. Finalmente se presentan algunos ejemplos típicos donde se aplica la teoría vista anteriormente.
We introduce several concepts used in optimal experimental design. Optimality criteria used in this area are defined and their properties are explored. Some important results for finding optimal designs in linear and nonlinear models are listed, specially equivalence theorems are formulated. Finally, we present some examples where that theory is applied.
Article abstract page views
317
Downloads
Download data is not yet available.
How to Cite
López, V. I., & Ramos, R. (2007). AN INTRODUCTION TO OPTIMAL DESIGNS. Revista Colombiana De Estadística, 30(1), 37-51. https://revistas.unal.edu.co/index.php/estad/article/view/29317
License
Copyright (c) 2007 Revista Colombiana de Estadística

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).






