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Best Linear Recursive Estimation

 

作者: P.L. Odell,   T.O. Lewis,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1971)
卷期: Volume 66, issue 336  

页码: 893-896

 

ISSN:0162-1459

 

年代: 1971

 

DOI:10.1080/01621459.1971.10482366

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

This article presents a matrix formulation of recursive forms for best linear unbiased estimators [Xcirc]Nof the parameter vector x in the linear model yi=hix+ei, i = 1,2, ···, N when the observation vectors yiare correlated. If data are collected in sequence one can formulate recursive forms of the estimator [Xcirc]Nso that it is not necessary to store all the previous data but only previous estimates and current data. This requires less storage space to obtain best linear unbiased estimators. This is especially advantageous in real-time estimation problems.

 

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