词条 | Hildreth–Lu estimation |
释义 |
Hildreth–Lu estimation, named for Clifford Hildreth and John Y. Lu,[1] is a method for adjusting a linear model in response to the presence of serial correlation in the error term. It is an iterative procedure related to the Cochrane–Orcutt estimation. The idea is to repeatedly apply non-linear least squares to: for different values of between −1 and 1. From all these auxiliary regressions, one selects the one that yields the smallest residual sum of squares. See also
References1. ^{{cite journal |last=Hildreth |first= C. |last2=Lu |first2=J. Y. |title=Demand Relations with Autocorrelated Disturbances |journal=Technical Bulletin |volume=276 |publisher=Michigan State University Agricultural Experiment Station |date=November 1960 }} Further reading
2 : Autocorrelation|Regression with time series structure |
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