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Description
This book, 'Matrix Analysis for Statistics' by James R. Schott, serves as a comprehensive guide for graduate students in statistics, focusing on the essential role of matrix methods in statistical analysis. The text systematically covers topics such as matrix algebra, vector spaces, eigenvalues, matrix norms, and systems of linear equations. It emphasizes the application of these mathematical concepts in statistical contexts like regression analysis and multivariate analysis. The book is show more structured to support a full course on matrix methods, making it suitable for advanced undergraduates and as a reference for applied and research statisticians. It aims to provide a cohesive understanding of matrix methods necessary for modern statistical analysis. show lessTags
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1 Work 15 Members
Series
Common Knowledge
- Canonical title
- Matrix Analysis for Statistics
Classifications
Statistics
- Members
- 15
- Popularity
- 1,587,036
- Rating
- (4.00)
- Languages
- English
- Media
- Paper, Ebook
- ISBNs
- 5
