OPTIONS FOR ANALYZING UNBALANCED SPLIT-PLOT EXPERIMENTS: A CASE STUDY
نویسندگان
چکیده
منابع مشابه
Model-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 ...
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I NDUSTRIAL experiments often involve two types of factors: those that are hard to change and those that are easy to change. The experiments are performed by fixing the levels of the hard-to-change factors and then running all or some of the combinations of the easy-to-change factor levels. Then, a new setting in the hard-to-change factors is selected and the process is repeated. With replicati...
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A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the the optimal design of blocked and split plot experiments 1st edition is one book that we real...
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Randomized block and split plot designs are among the most commonly used experimental designs in forest research. Measurements for plots in a block (or subplots in a whole plot) are correlated with each other, and these correlations must be taken into account when analyzing repeated measures data from blocked designs. The analysis is similar to repeated measures analysis for a completely random...
متن کاملDesigning 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 ...
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ژورنال
عنوان ژورنال: Conference on Applied Statistics in Agriculture
سال: 1992
ISSN: 2475-7772
DOI: 10.4148/2475-7772.1403