Abstract
In this paper, the authors investigate Edgeworth type expansions of certain transformations of some statistics of Gaussian ARMA processes. They also investigate transformations which will make the second order part of the Edgeworth expansions vanish. Some numerical studies are made and they show that the above transformations give better approximations than the usual approximation.
Original language | English |
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Pages (from-to) | 187-197 |
Number of pages | 11 |
Journal | Annals of the Institute of Statistical Mathematics |
Volume | 41 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1989 Mar |
Externally published | Yes |
Keywords
- Edgeworth expansion
- Fisher's z-transformation
- Gaussian ARMA process
- maximum likelihood estimator
- periodogram
- quasi-maximum likelihood estimator
- spectral density
ASJC Scopus subject areas
- Statistics and Probability