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Partially balanced cross-over designs for consumer trials

Authors:

Poonam Singh,

University of Delhi, Delhi-110007, IN
About Poonam
Department of Statistics
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Mithilesh Kumar Jha,

PGDAV College (University of Delhi), Nehru Nagar, Delhi-110065, IN
About Mithilesh Kumar
Department of Statistics
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Garima Priyadarshini

University of Delhi, Delhi-110007, IN
About Garima
Department of Statistics
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Abstract

In cross-over designs, sequences of treatments are applied to the units, spread over a specified period of time. The model for the estimation of such designs includes a carryover term, which makes them competent for use in consumer research trials. Construction of useful cross-over designs in the context of consumer research trials forms the body of this work and some new classes of partially balanced cross-over designs with two associate classes [PBCOD(2)] are obtained, along with their efficiencies. Designs constructed are uniform over periods for a large number of units and they estimate treatment contrasts with two sets of precision.
DOI: http://doi.org/10.4038/sljastats.v17i2.7871
How to Cite: Singh, P., Jha, M.K. & Priyadarshini, G., (2016). Partially balanced cross-over designs for consumer trials. Sri Lankan Journal of Applied Statistics. 17(2), pp.71–85. DOI: http://doi.org/10.4038/sljastats.v17i2.7871
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Published on 09 Nov 2016.
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