| dc.creator | ROMAN DE LA VARA SALAZAR | |
| dc.date | 2007-03-27 | |
| dc.date.accessioned | 2023-07-21T15:46:10Z | |
| dc.date.available | 2023-07-21T15:46:10Z | |
| dc.identifier | http://cimat.repositorioinstitucional.mx/jspui/handle/1008/635 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7729180 | |
| dc.description | Unreplicated fractional factorial experiments with response modeled
with Generalized linear models (GLM) are found more and more frequently
in industrial applications. GLM analysis relies heavily on large sample
results. This paper presents a Bayesian method for detecting the active
effects in unreplicated factorial experiments analyzed by a GLM that does
not require the large sample assumption. The proposed method is based
on Bayesian model selection. In the examples shown, the Bayesian method
produces more consistent results thaninference based on Wald’s test, and
in a simulated example the usual approach brakes down while the Bayesian
method identifies the significant effects correctly. The method is presented
for the 2 kexperiments, but it can easily be generalized to other designs. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Centro de Investigación en Matemáticas AC | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc/4.0 | |
| dc.subject | info:eu-repo/classification/MSC/Estadística Bayesiana | |
| dc.subject | info:eu-repo/classification/cti/1 | |
| dc.subject | info:eu-repo/classification/cti/12 | |
| dc.subject | info:eu-repo/classification/cti/1209 | |
| dc.subject | info:eu-repo/classification/cti/610504 | |
| dc.subject | info:eu-repo/classification/cti/610504 | |
| dc.title | Bayesian Detection of Active Effects in Designed Experiments Modeled with GLM´S | |
| dc.type | info:eu-repo/semantics/report | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.audience | researchers | |
