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Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations
Abstract
1. Density estimation for exploring data 2. Density estimation for inference 3. Nonparametric regression for exploring data 4. Inference with nonparametric regression 5. Checking parametric regression models 6. Comparing regression curves and surfaces 7. Time series data 8. An introduction to semiparametric and additive models References
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Cited by
The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Ang, K. K., Chin, Z. Y., Zhang, H., & Guan, C. (2008) · 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) · doi:10.1109/ijcnn.2008.4634130 · Cited by 1,514
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
Ang, K. K., Chin, Z. Y., Wang, C., Guan, C., & Zhang, H. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00039 · Cited by 1,264
Weights and importance in composite indicators: Closing the gap
Becker, W., Saisana, M., Paruolo, P., & Vandecasteele, I. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.03.056 · Cited by 524
A Big Data Analytics Method for Tourist Behaviour Analysis
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017) · Information & Management · doi:10.1016/j.im.2016.11.011 · Cited by 393
Metadata
- Authors
- Kafadar, K., Bowman, A. W., & Azzalini, A.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1999-09
- Volume
- 94
- Issue
- 447
- Pages
- 982
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W1995127855
- Cited by
- 1,193
- References
- 0
- FWCI
- 23.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations. https://app.cochat.ai/papers/10.2307/2670015
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- Kafadar, K., Bowman, A. W., & Azzalini, A. (1999). Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations. Journal of the American Statistical Association. https://doi.org/10.2307/2670015
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
