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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Vydáno v:	Journal of statistical theory and practice Ročník 14; číslo 1
Hlavní autoři:	Chowdhury, Shrabanti, Lukemire, Joshua, Mandal, Abhyuday
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.03.2020
Témata:	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
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