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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