Type: Article
Publication Date: 1974-12-01
Citations: 202
DOI: https://doi.org/10.1109/tac.1974.1100735
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.
Action | Title | Year | Authors |
---|---|---|---|
+ | Moderne Algebra | 1937 |
B. L. Van der WAERDEN |