Designing fractional factorial split-plot experiments with few whole-plot factors
نویسندگان
چکیده
منابع مشابه
Designing fractional factorial split-plot experiments with few whole-plot factors
When it is impractical to perform the experimental runs of a fractional factorial design in a completely random order, restrictions on the randomization can be imposed. The resulting design is said to have a split-plot, or nested, error structure. Similarly to fractional factorials, fractional factorial split-plot designs can be ranked by using the aberration criterion.Techniques that generate ...
متن کاملOptimal Fractional Factorial Split-plot Designs for Model Selection
Fractional factorial designs are used widely in screening experiments to identify significant effects. It is not always possible to perform the trials in a complete random order and hence, fractional factorial split-plot designs arise. In order to identify optimal fractional factorial split-plot designs in this setting, the Hellinger distance criterion (Bingham and Chipman (2007)) is adapted. T...
متن کاملOn the Analysis of Balanced Two-Level Factorial Whole-Plot Saturated Split-Plot Designs
This paper considers an experimentation strategy when resource constraints permit only a single design replicate per time interval, and one or more design variables are hard-to-change. The experimental designs considered are two-level full or fractional factorial designs run as balanced split-plots. These designs are common in practice and appropriate for fitting a main effects plus interaction...
متن کاملfactorial and split-plot statistical designs
factorial and split-plot designs are two statistical procedures used to conduct agricultural field experiments. both designs are used frequently to quantify the main and interaction effects of two or more factors. however, split-plot design is recommended for specific situations depending on major and minor goals of the study, characteristics of the factors, and precision of statistical testing...
متن کاملModel-robust designs for split-plot experiments
Split-plot experiments are appropriate when some factors are more difficult and/or expensive to change than others. They require two levels of randomization resulting in a non-independent error structure. The design of such experiments has garnered much recent attention, including work on exact D-optimal split-plot designs. However, many of these procedures rely on the a priori assumption that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series C (Applied Statistics)
سال: 2004
ISSN: 0035-9254,1467-9876
DOI: 10.1046/j.1467-9876.2003.05029.x