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Generalized Inverses and Solutions to Systems of Linear Equations

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Linear Model Theory
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Abstract

Throughout this book we will discover that in order to obtain “good” estimators of the elements of β (or functions thereof) under a linear model, and for other purposes as well, we need to solve various systems of linear equations of the general form

$$\displaystyle \mathbf {A}\mathbf {x}=\mathbf {b}. $$

Here A is a specified n × m matrix called the coefficient matrix , b is a specified n-vector called the right-hand side vector , and x is an m-vector of unknowns. Any vector of unknowns that satisfies the system is called a solution . A solution may or may not exist.

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References

  • Harville, D. A. (1997). Matrix algebra from a statistician’s perspective. New York, NY: Springer.

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  • Rao, C. A. & Mitra, S. K. (1971). Generalized inverse of matrices and its applications. New York, NY: Wiley.

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Zimmerman, D.L. (2020). Generalized Inverses and Solutions to Systems of Linear Equations. In: Linear Model Theory. Springer, Cham. https://doi.org/10.1007/978-3-030-52063-2_3

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