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Non-asymptotic analysis of approximations for multivariate statistics
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2020
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| Acceso en línea: | https://dx.doi.org/10.1007/978-981-13-2616-5 http://cds.cern.ch/record/2722862 |