Artículos de revistas
Factorial and response surface designs robust to missing observations
Fecha
2017-09-01Registro en:
Computational Statistics & Data Analysis. Amsterdam: Elsevier Science Bv, v. 113, p. 261-272, 2017.
0167-9473
10.1016/j.csda.2016.05.023
WOS:000404822600021
WOS000404822600021.pdf
Autor
Universidade de São Paulo (USP)
Kings Coll London
Universidade Estadual Paulista (Unesp)
Institución
Resumen
Compound optimum design criteria which allow pure error degrees of freedom may produce designs that break down when even a single run is missing, if the number of experimental units is small. The inclusion, in the compound criteria, of a measure of leverage uniformity is proposed in order to produce designs that are more robust to missing observations. By appropriately choosing the weights of each part of the criterion, robust designs are obtained that are also highly efficient in terms of other properties. Applications to various experimental setups show the advantages of the new methods. (C) 2016 Elsevier B.V. All rights reserved.