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Matrix-Based Introduction to Multivariate Data Analysis

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The...

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Main Author: Adachi, Kohei. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Statistics .
Mathematical statistics.
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics and Computing/Statistics Programs.
Statistics for Business, Management, Economics, Finance, Insurance.
Probability and Statistics in Computer Science.
Online Access:https://doi.org/10.1007/978-981-10-2341-5

Internet

https://doi.org/10.1007/978-981-10-2341-5

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