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Exact Maximum Likelihood Estimation of an ARMA(1, 1) Model with Incomplete Data
Authors:CHUNSHENG  MA
Affiliation:Wichita State University
Abstract:For a first-order autoregressive and first-order moving average model with nonconsecutively observed or missing data, the closed form of the exact likelihood function is obtained, and the exact maximum likelihood estimation of parameters is derived in the stationary case.
Keywords:ARMA(1, 1) process    incomplete data    likelihood function    maximum likelihood estimation
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