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Smoothing spline nonlinear nonparametric regression models
Ke, Chunlei; Wang, Yuedong - In: Journal of the American Statistical Association : JASA 99 (2004) 468, pp. 1166-1175
Persistent link: https://www.econbiz.de/10002507585
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Theory and Methods - Rejoinder - Semiparametric Nonlinear Mixed-Effects Models and Their Applications
Ke, Chunlei; Wang, Yuedong - In: Journal of the American Statistical Association : JASA 96 (2001) 456, pp. 1294-1298
Persistent link: https://www.econbiz.de/10006618559
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Theory and Methods - Semiparametric Nonlinear Mixed-Effects Models and Their Applications
Ke, Chunlei; Wang, Yuedong - In: Journal of the American Statistical Association : JASA 96 (2001) 456, pp. 1272-1281
Persistent link: https://www.econbiz.de/10006618565
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Optimal shrinkage estimation of variances with applications to microarray data analysis
Tong, Tiejun; Wang, Yuedong - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 113-122
Persistent link: https://www.econbiz.de/10003430830
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Applications and Case Studies - A Signal Extraction Approach to Modeling Hormone Time Series with Pulses and a Changing Baseline
Guo, Wensheng; Wang, Yuedong; Brown, Morton B. - In: Journal of the American Statistical Association : JASA 94 (1999) 447, pp. 746-756
Persistent link: https://www.econbiz.de/10006626509
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Theory and Methods - Comment - Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
Wang, Yuedong; Wahba, Grace - In: Journal of the American Statistical Association : JASA 93 (1998) 443, pp. 976-979
Persistent link: https://www.econbiz.de/10006628321
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Smoothing Spline Models With Correlated Random Errors
Wang, Yuedong - In: Journal of the American Statistical Association : JASA 93 (1998) 441, pp. 341-348
Persistent link: https://www.econbiz.de/10006629291
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Theory and Methods - Optimal Shrinkage Estimation of Variances With Applications to Microarray Data Analysis
Tong, Tiejun; Wang, Yuedong - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 113-122
Persistent link: https://www.econbiz.de/10007612037