L-optimum Designs in Multi-factor Models with Heteroscedastic Errors
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Publisher
Physica-Verlag HD
Link
http://link.springer.com/content/pdf/10.1007/978-3-7908-2693-7_17
Reference5 articles.
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2. G. Montepiedra and W.K. Wong. A new design criterion when heteroscedasticity is ignored. Ann. Inst Statist Math., (53):418–4262001.
3. C. Rodríguez and I. Ortiz. D-optimal designs in multi-factor models with heteroscedastic errors. J. Statist. Plann. Inference, (to appear), 2004.
4. R. Schwabe. Optimum Designs for Multi-Factor Models. Springer, 1996.
5. W.K. Wong. G-optimal designs for multifactor experiments with het-eroscedastic errors. J. Statist Plann. Inference40:127–1331994.
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Bayesian Φ q -optimal designs for multi-factor additive non linear models with heteroscedastic errors;Communications in Statistics - Theory and Methods;2023-12-05
2. A-optimal designs for heteroscedastic multifactor regression models;Communications in Statistics - Theory and Methods;2015-03-24
3. L-optimum Designs in Multi-factor Models with Heteroscedastic Errors;Contributions to Statistics;2004
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