The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A new test for multivariate normality
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Citations
Cites
Approximation Theorems of Mathematical Statistics
Serfling, R. J. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316481 · Cited by 5,851
Measures of multivariate skewness and kurtosis with applications
MARDIA, K. V. (1970) · Biometrika · doi:10.1093/biomet/57.3.519 · Cited by 4,792
Vaart, A. W. V. D. (1998) · doi:10.1017/cbo9780511802256 · Cited by 4,159
Anderson, T. W., & Darling, D. A. (1954) · Journal of the American Statistical Association · doi:10.1080/01621459.1954.10501232 · Cited by 2,450
A Class of Statistics with Asymptotically Normal Distribution
Hoeffding, W. (1948) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730196 · Cited by 1,928
A Class of Statistics with Asymptotically Normal Distribution
Hoeffding, W. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-0919-5_20 · Cited by 1,851
Integral Geometry and Geometric Probability
Santaló, L. A., & Kac, M. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511617331 · Cited by 1,794
Approximation Theorems of Mathematical Statistics.
Serfling, R. J. (1981) · Biometrics · doi:10.2307/2530199 · Cited by 1,104
A class of invariant consistent tests for multivariate normality
Henze, N., & Zirkler, B. (1990) · Communications in Statistics - Theory and Methods · doi:10.1080/03610929008830400 · Cited by 710
Number-Theoretic Methods in Statistics.
Ripley, B. D., Fang, K.-T., & Wang, Y. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983421 · Cited by 621
Cited by
Strictly Proper Scoring Rules, Prediction, and Estimation
Gneiting, T., & Raftery, A. E. (2007) · Journal of the American Statistical Association · doi:10.1198/016214506000001437 · Cited by 5,793
Measuring and testing dependence by correlation of distances
Székely, G. J., Rizzo, M. L., & Bakirov, N. K. (2007) · The Annals of Statistics · doi:10.1214/009053607000000505 · Cited by 2,684
Self-citationEnergy statistics: A class of statistics based on distances
Székely, G. J., & Rizzo, M. L. (2013) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2013.03.018 · Cited by 695
Self-citationEquivalence of distance-based and RKHS-based statistics in hypothesis testing
Sejdinovic, D., Sriperumbudur, B., Gretton, A., & Fukumizu, K. (2013) · The Annals of Statistics · doi:10.1214/13-aos1140 · Cited by 582
“Let k be a measurable kernel on Z , and denote, for θ > 0, , by the Riesz representation theorem.”
Metadata
- Authors
- Székely, G. J., & Rizzo, M. L.
- Venue
- Journal of Multivariate Analysis
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 93
- Issue
- 1
- Pages
- 58-80
- ISSN
- 0047-259X (ISSN-L)
- OpenAlex
- W1994884074
- Cited by
- 317
- References
- 19
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Székely, G. J., & Rizzo, M. L. (2005). A new test for multivariate normality. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2003.12.002
Data sources
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.
