Article ID Journal Published Year Pages File Type
1153510 Statistics & Probability Letters 2011 8 Pages PDF
Abstract
For a general non-Gaussian stationary linear process, quasi-maximum likelihood estimation of a subset of the parameters of the spectral density is considered when the complementary subset is suspected to be superfluous. A preliminary test quasi-maximum likelihood estimator (q-MLE) of parameters is introduced and, in the light of its mean square error, is compared with the restricted and unrestricted q-MLE.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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