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Topics in Circular Statistics
Abstract
This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research, the book should benefit both the researcher and the practitioner
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Citations
Cited by
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Yang, J., Anishchenko, I., Park, H., Peng, Z., Ovchinnikov, S., & Baker, D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914677117 · Cited by 1,421
Spatial Synchrony in Population Dynamics
Liebhold, A., Koenig, W. D., & Bjørnstad, O. N. (2004) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.34.011802.132516 · Cited by 965
The diversity and evolution of ecological and environmental citizen science
Pocock, M. J. O., Tweddle, J. C., Savage, J., Robinson, L. D., & Roy, H. E. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172579 · Cited by 359
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Metadata
- Authors
- Jammalamadaka, S. R., & SenGupta, A.
- Venue
- Series on Multivariate Analysis
- Publisher
- WORLD SCIENTIFIC
- Published
- 2001-04
- ISSN
- 1793-1169 (ISSN-L)
- DOI
- 10.1142/4031
- OpenAlex
- W96390954
- Cited by
- 1,779
- References
- 0
- FWCI
- 2.87
- Type
- book
- Language
- en
- Open access
- closed
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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.
