Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation

1970/08/01 by Donald W. Marquardt · 13 citations
Engineering · Mathematics · Computer Science · #Control Systems and Identification #Statistical and numerical algorithms #Neural Networks and Applications

paper · doi:10.1080/00401706.1970.10488699

Abstract

A principal objective of this paper is to discuss a class of biased linear estimators employing generalized inverses. A second objective is to establish a unifying perspective. The paper exhibits theoretical properties shared by generalized inverse estimators, ridge estimators, and corresponding nonlinear estimation procedures. From this perspective it becomes clear why all these methods work so well in practical estimation from nonorthogonal data.

Citations

• Ridge Regression: Applications to Nonorthogonal Problems
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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• Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
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