eprintid: 20794 rev_number: 14 eprint_status: archive userid: 2326 dir: disk0/00/02/07/94 datestamp: 2016-05-30 08:23:05 lastmod: 2016-06-20 14:19:36 status_changed: 2016-05-30 08:23:05 type: article metadata_visibility: show creators_name: Chen, Zhao-Guo creators_name: Wu, Ka Ho creators_name: Dahlhaus, Rainer title: Hidden Frequency Estimation with Data Tapers subjects: 510 divisions: 110400 keywords: Central limit theorem; Frequency leakage; Fourier transformation; Law of the iterated logarithm; Periodogram; Secondary analysis abstract: Detecting and estimating hidden frequencies have long been recognized as an important problem in time series. This paper studies the asymptotic theory for two methods of high-precision estimation of hidden frequencies (secondary analysis method and maximum periodogram method) under the premise of using a data taper. In ordinary situations, a data taper may reduce the estimation precision slightly. However, when there are high peaks in thespectral density of the noise or other strong hidden periodicities with frequencies close to the hidden frequency of interest, the procedures of detection of the existence and the estimation for the hidden frequency of interest fail if data are non-tapered whereas they may work well if the data are tapered. The theoretical results are verified by some simulated examples. date: 2000-03 publisher: Wiley-Blackwell id_scheme: DOI id_number: 10.11588/heidok.00020794 schriftenreihe_cluster_id: sr-10a schriftenreihe_order: 54 ppn_swb: 1657240762 own_urn: urn:nbn:de:bsz:16-heidok-207946 language: eng bibsort: CHENZHAOGUHIDDENFREQ200003 full_text_status: public publication: Journal of Time Series Analysis volume: 21 number: 2 place_of_pub: Oxford pagerange: 113-142 pages: 45 issn: 1467-9892 citation: Chen, Zhao-Guo ; Wu, Ka Ho ; Dahlhaus, Rainer (2000) Hidden Frequency Estimation with Data Tapers. Journal of Time Series Analysis, 21 (2). pp. 113-142. ISSN 1467-9892 document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/20794/1/Beitrag.54.pdf