DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors

M. Wilk and A. Zaigraev

Statistics & Probability Letters, 2017, vol. 128, issue C, 28-34

Abstract: Optimal design problems for random coefficient regression model with heteroscedastic errors are considered. Under continuous design setting, conditions for existence of 2-point design that is as good as a given k-point design and for existence of DS-optimal design are established.

Keywords: DS-optimal design; Heteroscedastic errors; FCR model; RCR model (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1016/j.spl.2017.04.016

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