D-optimal design of split-split-plot experiments
نویسندگان
چکیده
منابع مشابه
The Optimal Design of Blocked and Split-Plot Experiments
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...
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 کاملOptimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation
Now, we come to offer you the right catalogues of book to open. optimal design of blocked and split plot experiments is one of the literary work in this world in suitable to be reading material. That's not only this book gives reference, but also it will show you the amazing benefits of reading a book. Developing your countless minds is needed; moreover you are kind of people with great curiosi...
متن کاملA Modified Path of Steepest Ascent for Split-Plot Experiments
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...
متن کاملRepeated Measures in Randomized Block and Split Plot Experiments
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 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: Biometrika
سال: 2009
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asn070