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
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Harville, D. A. (1997). Matrix algebra from a statistician’s perspective. New York, NY: Springer.
Rao, C. A. & Mitra, S. K. (1971). Generalized inverse of matrices and its applications. New York, NY: Wiley.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-52063-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52062-5
Online ISBN: 978-3-030-52063-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)