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Can I read Matrix-Based Introduction to Multivariate Data Analysis on EtoBox?
Matrix-Based Introduction to Multivariate Data Analysis by Kohei Adachi is a mathematics available to read on EtoBox.
What is Matrix-Based Introduction to Multivariate Data Analysis about?
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 author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively
Who reads Matrix-Based Introduction to Multivariate Data Analysis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kohei Adachi
- Publisher
- Springer Singapore, Singapore
- Published
- 2016
- Language
- EN
- ISBN
- 9789811023408
- Category
- mathematics
- Subjects
- Mathematics, Statistics, Research
- Updated
- 2026-03-25
Other editions & translations
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