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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ahmed, S. Ejaz (Editor, http://id.loc.gov/vocabulary/relators/edt), Carvalho, Francisco (Editor, http://id.loc.gov/vocabulary/relators/edt), Puntanen, Simo (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Contributions to Statistics,
• Subjects: Statistics .; Matrix theory.; Algebra.; Data mining.; Probabilities.; Mathematical statistics.; Statistical Theory and Methods.; Linear and Multilinear Algebras, Matrix Theory.; Data Mining and Knowledge Discovery.; Statistics for Life Sciences, Medicine, Health Sciences.; Probability Theory and Stochastic Processes.; Probability and Statistics in Computer Science.

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 contributio...