Structural inference for linear regression with autocorrelated errors
نویسندگان
چکیده
منابع مشابه
Minimax Regression Designs for Approximately Linear Models with Autocorrelated Errors
We study the construction of regression designs, when the random errors are autocorrelated. Our model of dependence assumes that the spectral density g(~o) of the error process is of the form g ( o ) = (1 -a)go(~O ) + ~gl(o), where go(CO) is uniform (corresponding to uncorrelated errors), ct ~ [0, 1) is fixed, and gx(to) is arbitrary. We consider regression responses which are exactly, or only ...
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ژورنال
عنوان ژورنال: Statistische Hefte
سال: 1976
ISSN: 0039-0631
DOI: 10.1007/bf02923316