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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Recurrence plot based methods are highly efficient and widely accepted tools for the investigation of time series or one-dimensional data. We present an extension of the recurrence plots and their quantifications in order to study recurrent structures in higher-dimensional spatial data. The capability of this extension is illustrated on prototypical 2D models. Next, the tested and proved approa...
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 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...
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ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2017
ISSN: 1225-066X
DOI: 10.5351/kjas.2017.30.3.335