Uniqueness of the maximum likelihood estimates of the parameters of an ARMA model

Type: Article

Publication Date: 1974-12-01

Citations: 202

DOI: https://doi.org/10.1109/tac.1974.1100735

Abstract

Estimation of the parameters in a mixed autoregressive moving average process leads to a nonlinear optimization problem. The negative logarithm of the likelihood function, suitably normalized, converges to a deterministic function as the sample length increases. The local and global extrema of this function are investigated. Conditions for the existence of a unique global and local minimum are given.

Locations

  • IEEE Transactions on Automatic Control - View
  • Lund University Publications (Lund University) - View - PDF

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Works Cited by This (1)

Action Title Year Authors
+ Moderne Algebra 1937 B. L. Van der WAERDEN