Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153510 | Statistics & Probability Letters | 2011 | 8 Pages |
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
Authors
Yusuke Maeyama, Kenichiro Tamaki, Masanobu Taniguchi,