Title
Maximum Likelihood Parameter Estimation Algorithm For Controlled Autoregressive Autoregressive Models
Abstract
A maximum likelihood parameter estimation algorithm is derived for controlled autoregressive autoregressive (CARAR) models based on the maximum likelihood principle. In this derivation, we use an estimated noise transfer function to filter the input-output data. The simulation results show that the proposed estimation algorithm can effectively estimate the parameters of such class of CARAR systems and give more accurate parameter estimates than the recursive generalized least-squares algorithm.
Year
DOI
Venue
2011
10.1080/00207160.2011.598514
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
Keywords
Field
DocType
least squares, maximum likelihood, parameter estimation, recursive identification, stochastic systems
Least squares,Autoregressive model,Mathematical optimization,Likelihood function,Expectation–maximization algorithm,Transfer function,Estimation theory,Maximum likelihood sequence estimation,STAR model,Mathematics
Journal
Volume
Issue
ISSN
88
16
0020-7160
Citations 
PageRank 
References 
12
0.53
47
Authors
3
Name
Order
Citations
PageRank
Wei Wang1120.53
Junhong Li2120.53
Ruifeng Ding326111.82