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parameter estimation; autoregressive models; white noise; conditional maximum likelihood method; maximum likelihood estimation; iterative method; numerical example; AR model
AR models are frequently used but usually with normally distributed white noise. In this paper AR model with uniformly distributed white noise are introduces. The maximum likelihood estimation of unknown parameters is treated, iterative method for the calculation of estimates is presented. A numerical example of this procedure and simulation results are also given.
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