Bounds on the accuracy of Gaussian ARMA parameter estimation methods based on sample covariances
- 1 June 1986
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 31 (6), 579-582
- https://doi.org/10.1109/tac.1986.1104325
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- SOME ASYMPTOTIC PROPERTIES OF THE SAMPLE COVARIANCES OF GAUSSIAN AUTOREGRESSIVE MOVING-AVERAGE PROCESSESJournal of Time Series Analysis, 1987
- Optimal instrumental variable estimates of the AR parameters of an ARMA processIEEE Transactions on Automatic Control, 1985
- Performance evaluation of the modified Yule-Walker estimatorIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Information tradeoffs in using the sample autocorrelation function in ARMA parameter estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
- A criterion for selecting information- preserving data reductions for use in the design of multiple- parameter estimators (Corresp.)IEEE Transactions on Information Theory, 1983
- Maximum Likelihood Estimation of Parameters of Autoregressive Processes with Moving Average Residuals and Other Covariance Matrices with Linear StructureThe Annals of Statistics, 1975
- Identification of autoregressive moving-average parameters of time seriesIEEE Transactions on Automatic Control, 1975
- Maximum likelihood estimation of structural parameters from random vibration dataJournal of Sound and Vibration, 1973
- Maximum likelihood identification of Gaussian autoregressive moving average modelsBiometrika, 1973
- Large-sample estimation of parameters for autoregressive processes with moving-average residualsBiometrika, 1962