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Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

The remaining material requires an elementary knowledge of matrix algebra. This chapter contains the basic concepts necessary to understand it. If you know no matrix algebra, it should teach you enough to understand the remaining chapters. If you are not sure of your knowledge of matrix algebra, you should probably at least scan this material. If you already have a basic knowledge of matrix algebra, you may skip most of this chapter, although you should read at least the last section.

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© 1992 Springer-Verlag New York, Inc.

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Lindman, H.R. (1992). Basic Matrix Algebra. In: Analysis of Variance in Experimental Design. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9722-9_12

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  • DOI: https://doi.org/10.1007/978-1-4613-9722-9_12

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9724-3

  • Online ISBN: 978-1-4613-9722-9

  • eBook Packages: Springer Book Archive

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