Experimental Sequential Designs for Logistic Regression Models
Fuente:
Redalyc
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Artículo científico |
| Sprache: | en |
| Veröffentlicht: |
Universidad Nacional de Colombia
2008
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1876428252733505536 |
|---|---|
| author | Arturo T. De Zan |
| author_facet | Arturo T. De Zan |
| contents | Experimental Sequential Designs for Logistic Regression Models Arturo T. De Zan Física, Astronomía y Matemáticas Factorial design logistic regression response surface design generalized linear model Fisher information matrix When the usual hypotheses of normality and constant variance do not hold (e.g. in binomial or Bernoulli processes), the problem of choosing appropriate designs creates problems to researches when pursuing a sequential exploration of process. This paper is based on De Zan (2006), where the author proposes two criteria to evaluate design strategies, that take the amount of information as the main evaluation tool. One into account the information of the fitted model, and the other explores the information that is contained on the approximation of a set of the best conditions of factors found on a fitted model. An example of how these strategies work is also given through a simulation using R software. 2008 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89912222009 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.31 |
| format | Artículo científico |
| id | redalyc_89912222009 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Experimental Sequential Designs for Logistic Regression Models Arturo T. De Zan Física, Astronomía y Matemáticas Factorial design logistic regression response surface design generalized linear model Fisher information matrix Experimental Sequential Designs for Logistic Regression Models Arturo T. De Zan Física, Astronomía y Matemáticas Factorial design logistic regression response surface design generalized linear model Fisher information matrix When the usual hypotheses of normality and constant variance do not hold (e.g. in binomial or Bernoulli processes), the problem of choosing appropriate designs creates problems to researches when pursuing a sequential exploration of process. This paper is based on De Zan (2006), where the author proposes two criteria to evaluate design strategies, that take the amount of information as the main evaluation tool. One into account the information of the fitted model, and the other explores the information that is contained on the approximation of a set of the best conditions of factors found on a fitted model. An example of how these strategies work is also given through a simulation using R software. 2008 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89912222009 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.31 |
| title | Experimental Sequential Designs for Logistic Regression Models |
| topic | Física, Astronomía y Matemáticas Factorial design logistic regression response surface design generalized linear model Fisher information matrix |
| url | https://www.redalyc.org/articulo.oa?id=89912222009 |