Matrices, Statistics and Big Data
Springer Nature Switzerland AG, 2019
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This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data.
- ISBN-13
- 9783030175184
- ISBN-10
- 3030175189
- Publisher
- Springer Nature Switzerland AG
- Year
- 2019
- Publication date
- 2019-08-02
- Pages
- 190
- Dimensions
- 235x155x