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Communications in Statistics - Simulation and Computation Volume 44, 2015 - Issue 3
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Original Articles

Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data

Han Lin ShangESRC Centre for Population Change, University of Southampton, Southampton, UK and Research School of Finance, Actuarial Studies and Applied Statistics, Australian National University, AustraliaCorrespondence[email protected] [email protected]
Pages 614-635 | Received 01 Jun 2012, Accepted 18 Mar 2013, Published online: 10 Sep 2014

Citations (7)

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Read on this site (3)

Efstathios Paparoditis & Han Lin Shang. (2023) Bootstrap Prediction Bands for Functional Time Series. Journal of the American Statistical Association 118:542, pages 972-986.
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Xuanxuan Sheng, Di Xiong & Shihui Ying. (2022) Intrinsic semi-parametric regression model on Grassmannian manifolds with applications. Communications in Statistics - Simulation and Computation 0:0, pages 1-20.
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Han Lin Shang. (2021) Double bootstrapping for visualizing the distribution of descriptive statistics of functional data. Journal of Statistical Computation and Simulation 91:10, pages 2116-2132.
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Articles from other publishers (4)

Atikur R Khan & Enamul Kabir. (2021) Resampling methods for generating continuous multivariate synthetic data for disclosure control. Journal of Data, Information and Management 3:3, pages 225-235.
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Efstathios Paparoditis & Han Lin Shang. 2020. Nonparametric Statistics. Nonparametric Statistics 415 422 .
Han Lin Shang. (2016) Bootstrap methods for stationary functional time series. Statistics and Computing 28:1, pages 1-10.
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Han Lin Shang. (2017) Forecasting intraday S&P 500 index returns: A functional time series approach. Journal of Forecasting 36:7, pages 741-755.
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