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Technometrics Volume 56, 2014 - Issue 4
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Original Articles

Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model

Bruce J. SwihartDepartment of BiostatisticsJohns Hopkins Bloomberg School of Public Health, Baltimore, 21205, MD ([email protected]) ([email protected])
,
Jeff GoldsmithDepartment of Biostatistics Columbia Mailman School of Public HealthNew York, NY10032 ([email protected])
&
Ciprian M. CrainiceanuDepartment of BiostatisticsJohns Hopkins Bloomberg School of Public Health, Baltimore, 21205, MD ([email protected]) ([email protected])
Pages 483-493 | Received 01 Jun 2013, Published online: 10 Dec 2014

Citations (18)

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Read on this site (5)

Yan Zhang & Yuehua Wu. (2023) Robust hypothesis testing in functional linear models. Journal of Statistical Computation and Simulation 93:15, pages 2563-2581.
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Ufuk Beyaztas, Mujgan Tez & Han Lin Shang. (2023) Robust scalar-on-function partial quantile regression. Journal of Applied Statistics 0:0, pages 1-19.
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Ruiyan Luo & Xin Qi. (2019) Interaction Model and Model Selection for Function-on-Function Regression. Journal of Computational and Graphical Statistics 28:2, pages 309-322.
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Mimi Zhang & Min Xie. (2017) An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit. Technometrics 59:2, pages 237-246.
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Dehan Kong, Ana-Maria Staicu & Arnab Maity. (2016) Classical testing in functional linear models. Journal of Nonparametric Statistics 28:4, pages 813-838.
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Articles from other publishers (13)

Menghan Yi, Zaixing Li & Yanlin Tang. (2022) F‐type testing in functional linear models. Stat 11:1.
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Rahul Ghosal & Arnab Maity. (2022) A Score Based Test for Functional Linear Concurrent Regression. Econometrics and Statistics 21, pages 114-130.
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Wanying Ma, Luo Xiao, Bowen Liu & Martin A Lindquist. (2021) A functional mixed model for scalar on function regression with application to a functional MRI study. Biostatistics 22:3, pages 439-454.
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Sneha Jadhav & Shuangge Ma. (2021) An association test for functional data based on Kendall’s Tau. Journal of Multivariate Analysis 184, pages 104740.
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Merve Yasemin Tekbudak, Marcela Alfaro-Córdoba, Arnab Maity & Ana-Maria Staicu. (2018) A comparison of testing methods in scalar-on-function regression. AStA Advances in Statistical Analysis 103:3, pages 411-436.
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Stephanie T. Chen, Luo Xiao & Ana‐Maria Staicu. (2019) A smoothing‐based goodness‐of‐fit test of covariance for functional data. Biometrics 75:2, pages 562-571.
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Philip T. Reiss, Jeff Goldsmith, Han Lin Shang & R. Todd Ogden. (2017) Methods for Scalar-on-Function Regression. International Statistical Review 85:2, pages 228-249.
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Yu-Ru SuChong-Zhi DiLi Hsu. (2017) Hypothesis testing in functional linear models. Biometrics 73:2, pages 551-561.
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Jiawei Bai, Andrada IvanescuCiprian M. Crainiceanu. (2017) Discussion of the paper ‘A general framework for functional regression modelling’. Statistical Modelling 17:1-2, pages 36-44.
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Sonja Greven & Fabian Scheipl. (2017) A general framework for functional regression modelling. Statistical Modelling 17:1-2, pages 1-35.
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Seyed Nourollah Mousavi & Helle Sørensen. (2017) Multinomial functional regression with wavelets and LASSO penalization. Econometrics and Statistics 1, pages 150-166.
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Adam CiarleglioEva PetkovaR. Todd OgdenThaddeus Tarpey. (2015) Treatment decisions based on scalar and functional baseline covariates. Biometrics 71:4, pages 884-894.
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Mathew W. McLean, Giles Hooker & David Ruppert. (2014) Restricted likelihood ratio tests for linearity in scalar-on-function regression. Statistics and Computing 25:5, pages 997-1008.
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