Planejamento de experimentos bayesianos: aplicações em experimentos na presença de tendências lineares
Fecha
2007-01-11Autor
Lima, Luis Gustavo Guedes Bessa
Metadatos
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We present a general introduction in the construction of experimental design, spe-
cially a general factorial design and factorial design 2k and some Bayesian criteria in
the construction of experimental design. In practice, usually the researcher can have a
priori knowledge of specialists for estimated quantities from an experiment. The use of
Bayesian methods can take on best results with low costs. Many Bayesian criteria in-
troduced in literature are presented. One of the main applications in the experimental
design construction involve the existance of linear trends with objective of verifying the
best sequence of runs, specially the factorial designs with eight runs.
In this disertation, we introduce some basic concepts in design of experiments and the
use of the Bayesian approach to have more e¢ cient and less cost experiments. The main
goal of the work, is to consider a special case of great importance in applied indistrial
work: the presence of linear trend. In this case, we present a comparative study in design
of experiments under the classical and Bayesian approaches.