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Full estimation capacity design

For some numbers of factors and runs, full estimation capacity designs do not exist. The objective is then to find a design that maximizes EC—called an EC-optimal design. The construction of EC-optimal designs is discussed in the first part of this chapter. [Pg.209]

Table 5. Design indices for 16-run full estimation capacity designs that are model discriminating or (EC. /C)-optimal He and nM denote, respectively, the number of full estimation capacity designs and the number of these designs that are model... Table 5. Design indices for 16-run full estimation capacity designs that are model discriminating or (EC. /C)-optimal He and nM denote, respectively, the number of full estimation capacity designs and the number of these designs that are model...
See other pages where Full estimation capacity design is mentioned: [Pg.208]    [Pg.218]    [Pg.222]    [Pg.223]    [Pg.223]    [Pg.224]    [Pg.225]    [Pg.227]    [Pg.208]    [Pg.218]    [Pg.222]    [Pg.223]    [Pg.223]    [Pg.224]    [Pg.225]    [Pg.227]    [Pg.1311]    [Pg.71]    [Pg.13]    [Pg.155]    [Pg.43]    [Pg.97]    [Pg.29]    [Pg.555]    [Pg.139]    [Pg.577]    [Pg.265]    [Pg.254]    [Pg.2746]   
See also in sourсe #XX -- [ Pg.208 ]



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