Optimal Linear Biased Estimation Based on Generalized Contraction Mapping

Optimal Linear Biased Estimation Based on Generalized Contraction Mapping

Estimation methods are generalized in this paper by the idea of “scalar-vector-matrix”. A generalized contraction mapping (GCM) framework is proposed for searching the optimal linear biased estimation. First, based on the latent model and the mean square error criterion, four d...

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Bibliographic Details
Main Authors: Zhangming He, Dayi Wang, Haiyin Zhou, Jiongqi Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Biased estimation
fault diagnosis
generalized contraction mapping
generalized ridge estimation
improved principal component estimation
parameter estimation
Online Access:https://ieeexplore.ieee.org/document/8307053/

Internet

https://ieeexplore.ieee.org/document/8307053/

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