The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Nonparametric bootstrapping for hierarchical data
Abstract
Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the highest level (randomly sampling all other levels without replacement within the highest level selected by randomly sampling the highest levels with replacement) is better than that on lower levels, analyzed real data and performed simulation studies.
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“MLMs will be combined with cluster bootstrapping, which is recommended for resampling clustered data (103).”
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Cites
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The correlations and sequence of plant stomatal, hydraulic, and wilting responses to drought
Bartlett, M. K., Klein, T., Jansen, S., Choat, B., & Sack, L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604088113 · Cited by 564
Global analysis of plasticity in turgor loss point, a key drought tolerance trait
Bartlett, M. K., Zhang, Y., Kreidler, N., Sun, S., Ardy, R. C., Cao, K., & Sack, L. (2014) · Ecology Letters · doi:10.1111/ele.12374 · Cited by 364
Althoff, T., Clark, K., & Leskovec, J. (2016) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00111 · Cited by 322
Bjureberg, J., Sahlin, H., Hedman-Lagerlöf, E., Gratz, K. L., Tull, M. T., Jokinen, J., Hellner, C., & Ljótsson, B. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1885-6 · Cited by 96
Metadata
- Authors
- Ren, S., Lai, H., Tong, W., Aminzadeh, M., Hou, X., & Lai, S.
- Affiliations
- UNSW Sydney (AU)
- Johns Hopkins University (US)
- Towson University (US)
- Corresponding author
- Ren, Shiquan
- Venue
- Journal of Applied Statistics
- Publisher
- Informa UK Limited
- Published
- 2010-09
- Volume
- 37
- Issue
- 9
- Pages
- 1487-1498
- ISSN
- 0266-4763 (ISSN-L)
- 1360-0532
- OpenAlex
- W2084577255
- Cited by
- 148
- References
- 16
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 20 · 2023: 19 · 2022: 10 · 2021: 17 · 2020: 12 · 2019: 13 · 2018: 8 · 2017: 6 · 2016: 8 · 2015: 8 · 2014: 6 · 2013: 1 · 2012: 3
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Statistics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Keywords
- nonparametric bootstrap, hierarchical data, resampling strategies, multilevel data, cluster sampling, simulation study
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