Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition (Statistics for Social and Behavioral Sciences)
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Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition (Statistics for Social and Behavioral Sciences)

by Haruo Yanai, Kei Takeuchi, Yoshio Takane

Social Sciences Mathematics statistics
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Explores projection matrices, generalized inverses, and singular value decomposition with applications in statistics for social and behavioral sciences.

ISBN-13 9781461428596 ASIN 1461428599 Views 35 Publisher Springer Year 2013 Edition 2011 Format Paperback Product Group Book Pages 248 Adult No Created April 26, 2026 Updated August 18, 2026
About This Book

This book covers fundamental concepts in linear algebra relevant to statistical applications.

It presents projection matrices, generalized inverse matrices, and singular value decomposition in detail.

The content is designed for researchers and students in the social and behavioral sciences.

Emphasis is placed on mathematical foundations and practical utility in statistical analysis.

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