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Matrices, Statistics and Big Data
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Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016

2019 ed.

Book Details

Format Paperback / Softback
ISBN-10 3030175219
ISBN-13 9783030175214
Edition 2019 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 14th, 2020
Print length 190 Pages
Ksh 16,200.00
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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.

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. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016.

The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other''s tools, and fostering new collaborations at the interface of matrix theory and statistics.



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