Abstract
We consider the optimal design problem when the design space consists of binary vectors with a string property, i.e., a single stretch of ones. This is done in the framework of second-order least squares estimation which is known to outperform ordinary least squares estimation when the error distribution is asymmetric. Analytical as well as computational results on optimal design measures, under the D- and A-criteria, are obtained. The issue of robustness to the unknown skewness parameter of the error distribution is also explored. Finally, we present several procedures which entail N-run designs that are highly efficient, if not optimal.
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Acknowledgments
Thanks are due to the referees for very constructive suggestions. The work of RM was supported by a grant from the Indian Institute of Management Calcutta and the J.C. Bose National Fellowship of the Government of India.
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Huda, S., Mukerjee, R. Optimal designs with string property under asymmetric errors and SLS estimation. Stat Papers 59, 1255–1268 (2018). https://doi.org/10.1007/s00362-016-0819-y
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DOI: https://doi.org/10.1007/s00362-016-0819-y