A-ComVar: A Flexible Extension of Common Variance Designs

We consider nonregular fractions of factorial experiments for a class of linear models. These models have a common general mean and main effects; however, they may have different 2-factor interactions. Here we assume for simplicity that 3-factor and higher-order interactions are negligible. In the a...

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Veröffentlicht in:	Journal of statistical theory and practice Jg. 14; H. 1
Hauptverfasser:	Chowdhury, Shrabanti, Lukemire, Joshua, Mandal, Abhyuday
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.03.2020
Schlagworte:	Algorithms Analysis and Advanced Methodologies in the Design of Experiments Mathematics and Statistics Original Article Probability Theory and Stochastic Processes Statistical Theory and Methods Statistics Adaptive lasso Approximate common variance Genetic algorithm Model identification Common variance Class of models Plackett–Burman
ISSN:	1559-8608, 1559-8616
Online-Zugang:	Volltext
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