Sinha, Bikas K.Rao, P.S.S.N.V. P.Mathew, ThomasRao, S. B.2024-02-212024-02-212015-04-12Sinha, Bikas K., et al. “A New Class of Optimal Designs in the Presence of a Quantitative Covariate.” International Journal of Statistical Sciences 14, 2014: 1-15. https://csa.ru.ac.bd/stat-ijss/journals/v-14-iss-01/.1683–5603http://hdl.handle.net/11603/31683We propose to discuss at length the problem of placement of one controllable covariate in the context of an experiment involving several ‘treatments’. We do this while extracting maximum information on the unknown parameter attached to the covariate’s values in the mean model for the observations. The experimental set-up is a bit different, and this calls for an interesting non-trivial study on optimality in the context of a single-covariate linear regression model.15 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Treatment allocation experimentsmodels with covariatesoptimal placement of covariate valuesoptimal allocationsText