If nonlinear effects are expected the variables must be varied at more than two levels. A screening plan comparable to the Plackett Burman design but on three levels is that of Box and Behnken [I960]. [Pg.138]

TABLE 7 A Plackett-Burman Design in Which Eight Factors are Studied Simultaneously in 12 Experiments... [Pg.175]

ASTM El 169-89 Standard Guide for Conducting Ruggedness Tests (Plackett-Burman Design), American Society for Testing and Materials (ASTM), 100 Barr Harbor Drive, West Conshohocken, PA 19428-2959. [Pg.217]

TABLE 7 Plackett-Burman Design to Examine up to Seven Factors in Eight Experiments... [Pg.197]

TABLE 9 Results of the Eight-Experiment Plackett-Burman Design ... [Pg.199]

Plackett-Burman design. (----) least-squares line through all effects (-) assumed line through... [Pg.203]

Vander Heyden, Y., Hartmann, C., Massart, D. L., Michel, L., Kiechle, P., and Ernl, R (1995). Ruggedness tests for a high-performance liquid chromatographic assay comparison of an evaluation at two and three levels by using two-level Plackett-Burman designs. Anal. Chim. Acta 316, 15-26. [Pg.222]

The relationship of saturated fractional factorial and Plackett-Burman designs. [Pg.347]

The foldover design for the Plackett-Burman design in Table 14.9. [Pg.349]

An 11-factor Plackett-Burman design with foldover. [Pg.350]

Using row and column operations, convert the following 7-factor Plackett-Burman design to the saturated fractional factorial design shown in Table 14.7. [Pg.358]

When all of the variables are quantitative, an estimate of the experimental error can be obtained by adding to the full factorial, fractional factorial or Plackett-Burman design, a number of runs at the center of the design. The center of the design is the midpoint between the low and high settings of the two-level factors in the experiment. Thus, if there are p variables, and the levels of the variables have been coded (-1, +1), then the center of the design is (Xj, = (0, 0,. .., 0). If the... [Pg.24]

It is clear that if the first-order model (equation (5)) is assumed to be valid, then a resolution III design or a Plackett-Burman design can be used since this design will estimate all of the yff without bias. [Pg.35]

For this reason one prefers to apply an experimental design. In the literature a number of different designs are described, such as saturated fractional factorial designs and Plackett-Burman designs, full and fractional factorial designs, central composite designs and Box-Behnken designs [5]. [Pg.92]

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