Introduction to Matrices

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Applied Regression Analysis

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

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Abstract

Chapter 1 reviewed simple linear regression in algebraic notation and showed that the notation for models involving several variables is very cumberome.

This chapter introduces matrix notation and all matrix operations that are used in this text. Matrix algebra greatly simplifies the presentation of regression and is used throughout the text. Sections 2.7 and 2.8 are not used until later in the text and canbe omitted for now.

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© 1998 Springer-Verlag New York, Inc.

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(1998). Introduction to Matrices. In: Rawlings, J.O., Pantula, S.G., Dickey, D.A. (eds) Applied Regression Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22753-9_2

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  • DOI: https://doi.org/10.1007/0-387-22753-9_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98454-4

  • Online ISBN: 978-0-387-22753-5

  • eBook Packages: Springer Book Archive

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