DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors
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DOI: 10.1016/j.spl.2017.04.016
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References listed on IDEAS
- Fu-Chuen Chang & Hung-Ming Lin, 2007. "On Minimally-supported D-optimal Designs for Polynomial Regression with Log-concave Weight Function," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(2), pages 227-233, February.
- Alexander Zaigraev, 2002. "Shape optimal design criterion in linear models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 56(3), pages 259-273, December.
- Lan Wang & Xiao-Hua Zhou, 2007. "Assessing the Adequacy of Variance Function in Heteroscedastic Regression Models," Biometrics, The International Biometric Society, vol. 63(4), pages 1218-1225, December.
- Zhao, Quanshui, 2001. "Asymptotically Efficient Median Regression In The Presence Of Heteroskedasticity Of Unknown Form," Econometric Theory, Cambridge University Press, vol. 17(4), pages 765-784, August.
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Cited by:
- Cheng, Jing & Ai, Mingyao, 2020. "Optimal designs for panel data linear regressions," Statistics & Probability Letters, Elsevier, vol. 163(C).
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Keywords
DS-optimal design; Heteroscedastic errors; FCR model; RCR model;All these keywords.
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