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- W2342949087 abstract "AbstractThis article presents the characterizations of full estimation capacity (FEC) of the general hierarchical fractional factorial designs under a class of possible models for describing the data to be collected from planned experiments. The experimenter may not be sure what model will describe the data to be collected a priori but will suggest a class of possible models so that one model provides a better description than the others. The hierarchical designs (HDs) permit the estimation of different model parameters using its component designs. A general HD is presented for a 2m factorial experiment. The FEC properties are demonstrated under a variety of situations in terms of the number of runs.Keywords: Fractional factorialFull estimation capacityHierarchical designsTwo-factor interactionsUnbiasedly estimableMathematics Subject Classification: Primary 62K15; Secondary 62J05; 62K99; 62J99" @default.
- W2342949087 created "2016-06-24" @default.
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- W2342949087 date "2016-04-23" @default.
- W2342949087 modified "2023-09-27" @default.
- W2342949087 title "Full Estimation Capacity Hierarchical Fractional Factorial Designs for a Class of Models" @default.
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- W2342949087 doi "https://doi.org/10.1080/03610918.2014.968726" @default.
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