Split-Plot Central Composite Designs Robust to a Pair of Missing Observations
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 ...
متن کاملIncorporating Cost and Optimizing Central Composite Designs for Split - Plot Response Surface Methodology Experiments
Complete randomization in many industrial and agricultural experiments is frequently impractical due to constraints in time, cost or existence of one or more hard-to-change factors. In these situations, restrictions on randomization lead to split-plot designs (SPD), allowing certain factor levels to be randomly applied to the whole plot units and remaining factor levels randomly to the subplot ...
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 کاملSplit-Plot Designs: What, Why, and How
T HIS provocative remark has been attributed to the famous industrial statistician, Cuthbert Daniel, by Box et al. (2005) in their well-known text on the design of experiments. Split-Plot experiments were invented by Fisher (1925) and their importance in industrial experimentation has been long recognized (Yates (1936)). It is also well known that many industrial experiments are fielded as spli...
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 Applied Sciences and Environmental Management
سال: 2018
ISSN: 1119-8362
DOI: 10.4314/jasem.v22i9.08