Minimax robust designs for regression models with heteroscedastic errors

Metrika ◽

10.1007/s00184-021-00827-0 ◽

2021 ◽

Author(s):

Kai Yzenbrandt ◽

Julie Zhou

Keyword(s):

Regression Models ◽

Robust Designs ◽

Heteroscedastic Errors

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Minimax Robust Designs and Weights for Approximately Specified Regression Models with Heteroscedastic Errors

Journal of the American Statistical Association ◽

10.1080/01621459.1998.10473804 ◽

1998 ◽

Vol 93 (444) ◽

pp. 1440-1450 ◽

Author(s):

Douglas P. Wiens

Keyword(s):

Regression Models ◽

Robust Designs ◽

Heteroscedastic Errors

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A comparative study of robust designs for M-estimated regression models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2010.01.033 ◽

2010 ◽

Vol 54 (6) ◽

pp. 1683-1695 ◽

Author(s):

Douglas P. Wiens ◽

Eden K.H. Wu

Keyword(s):

Comparative Study ◽

Regression Models ◽

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Optimal and robust designs for trigonometric regression models

Metrika ◽

10.1007/s00184-013-0463-7 ◽

2013 ◽

Vol 77 (6) ◽

pp. 753-769 ◽

Author(s):

Xiaojian Xu ◽

Xiaoli Shang

Keyword(s):

Regression Models ◽

Robust Designs ◽

Trigonometric Regression

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Bias Constrained Minimax Robust Designs for Misspecified Regression Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_7 ◽

2000 ◽

pp. 117-133

Author(s):

Douglas P. Wiens

Keyword(s):

Regression Models ◽

Robust Designs ◽

Constrained Minimax

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Discrete M-robust designs for regression models

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2003.09.038 ◽

2005 ◽

Vol 131 (2) ◽

pp. 393-406

Author(s):

Yu-Ling Tsai ◽

Julie Zhou

Keyword(s):

Regression Models ◽

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Statistical inference of partially linear regression models with heteroscedastic errors

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2007.06.011 ◽

2007 ◽

Vol 98 (8) ◽

pp. 1539-1557 ◽

Author(s):

Jinhong You ◽

Gemai Chen ◽

Yong Zhou

Keyword(s):

Linear Regression ◽

Statistical Inference ◽

Regression Models ◽

Linear Regression Models ◽

Partially Linear ◽

Heteroscedastic Errors

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Some robust designs for polynomial regression models

Canadian Journal of Statistics ◽

10.1002/cjs.5550340405 ◽

2006 ◽

Vol 34 (4) ◽

pp. 623-638 ◽

Author(s):

Zhide Fang

Keyword(s):

Regression Models ◽

Polynomial Regression ◽

Robust Designs ◽

Polynomial Regression Models

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Optimal Designs for Random Coefficient Regression Models with Heteroscedastic Errors

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2011.620211 ◽

2013 ◽

Vol 42 (15) ◽

pp. 2798-2809 ◽

Author(s):

Jing Cheng ◽

Rong-Xian Yue ◽

Xin Liu

Keyword(s):

Regression Models ◽

Random Coefficient ◽

Optimal Designs ◽

Random Coefficient Regression ◽

Heteroscedastic Errors

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Addendum to the Paper, Bayesian D-Optimal and Model Robust Designs in Linear Regression Models

10.1080/02331889508802496 ◽

1995 ◽

Vol 26 (3) ◽

pp. 285-286

Author(s):

Holger Dette

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Regression Models ◽

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Optimal and Robust Designs for Full and Reduced Fourier Regression Models

10.1063/1.3663515 ◽

2011 ◽

Author(s):

Xiaojian Xu ◽

Xiaoli Shang ◽

Ilias Kotsireas ◽

Roderick Melnik ◽

Brian West

Keyword(s):

Regression Models ◽

Robust Designs ◽

Fourier Regression

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