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Journal of Statistical Computation and Simulation Volume 74, 2004 - Issue 8
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Hypothesis testing in smoothing spline models

Anna Liu 1
&
Yuedong Wang 2
Pages 581-597 | Received 08 Jun 2003, Accepted 11 Sep 2003, Published online: 23 Aug 2006

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Chin-Shang Li. (2012) Lack-of-Fit Tests for Generalized Linear Models via Splines. Communications in Statistics - Theory and Methods 41:23, pages 4240-4250.
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Finbarr O'Sullivan, Mark Muzi, Alexander M. Spence, David M. Mankoff, Janet N. O'Sullivan, Niall Fitzgerald, George C. Newman & Kenneth A. Krohn. (2009) Nonparametric Residue Analysis of Dynamic PET Data With Application to Cerebral FDG Studies in Normals. Journal of the American Statistical Association 104:486, pages 556-571.
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Yuedong Wang & Chunlei Ke. (2009) Smoothing Spline Semiparametric Nonlinear Regression Models. Journal of Computational and Graphical Statistics 18:1, pages 165-183.
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Göran Kauermann, Gerda Claeskens & J. D. Opsomer. (2009) Bootstrapping for Penalized Spline Regression. Journal of Computational and Graphical Statistics 18:1, pages 126-146.
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Tapio Nummi & Laura Koskela. (2008) Analysis of growth curve data by using cubic smoothing splines. Journal of Applied Statistics 35:6, pages 681-691.
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Articles from other publishers (20)

Zhijian Li, Tiejun Tong & Yuedong Wang. (2024) A difference-based method for testing no effect in nonparametric regression. Computational Statistics.
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Nathaniel E. Helwig. (2022) Robust Permutation Tests for Penalized Splines. Stats 5:3, pages 916-933.
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Meimei Liu, Zuofeng Shang, Yun Yang & Guang Cheng. (2022) Nonparametric Testing Under Randomized Sketching. IEEE Transactions on Pattern Analysis and Machine Intelligence 44:8, pages 4280-4290.
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Tayler A. Blake & Yoonkyung Lee. (2020) Nonparametric covariance estimation with shrinkage toward stationary models. WIREs Computational Statistics 12:6.
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Grace Wahba & Yuedong Wang. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 11 .
Grace Wahba & Yuedong Wang. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 19 .
Tapio Nummi, Jyrki Möttönen & Martti T. Tuomisto. 2017. New Advances in Statistics and Data Science. New Advances in Statistics and Data Science 75 85 .
Chin-I. Cheng & Paul L. Speckman. (2016) Bayes Factors for Smoothing Spline ANOVA. Bayesian Analysis 11:4.
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Jean-Marc Azaïs & Aurélien Ribes. (2016) Multivariate spline analysis for multiplicative models: Estimation, testing and application to climate change. Journal of Multivariate Analysis 144, pages 38-53.
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Augustin Kelava & Holger Brandt. (2014) A general non-linear multilevel structural equation mixture model. Frontiers in Psychology 5.
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Zuofeng Shang & Guang Cheng. (2013) Local and global asymptotic inference in smoothing spline models. The Annals of Statistics 41:5.
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Sonja Greven & Ciprian M. Crainiceanu. (2013) On likelihood ratio testing for penalized splines. AStA Advances in Statistical Analysis 97:4, pages 387-402.
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S. N. Wood. (2012) On p-values for smooth components of an extended generalized additive model. Biometrika 100:1, pages 221-228.
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Tapio Nummi & Nicholas Mesue. 2013. Advances in Growth Curve Models. Advances in Growth Curve Models 49 59 .
Tapio Nummi, Jianxin Pan, Tarja Siren & Kun Liu. (2011) Testing for Cubic Smoothing Splines under Dependent Data. Biometrics 67:3, pages 871-875.
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Maiying Kong & Jun Yan. (2011) Modeling and testing treated tumor growth using cubic smoothing splines. Biometrical Journal 53:4, pages 595-613.
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Yuedong Wang. 2011. Smoothing Splines. Smoothing Splines.
Ping Ma, Wenxuan Zhong & Jun S. Liu. (2009) Identifying Differentially Expressed Genes in Time Course Microarray Data. Statistics in Biosciences 1:2, pages 144-159.
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David Ruppert, M.P. Wand & Raymond J. Carroll. (2009) Semiparametric regression during 2003–2007. Electronic Journal of Statistics 3:none.
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Jiang Lin, Daowen Zhang & Marie Davidian. (2006) Smoothing Spline‐Based Score Tests for Proportional Hazards Models. Biometrics 62:3, pages 803-812.
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