A Monte-Carlo study of the first-order monthly seasonal moving average process / by Normand J. D. Laniel.: CS11-614/85-38E-PDF
"A résumé of previous studies on estimators for auto regressive moving average models is given. The maximum likelihood, unconditional and conditional least squares estimators are described. Monte-Carlo results are presented for the MA(1)12 seasonal model estimated by the three estimators. Conclusions about the choice of estimator are drawn from these results"--Summary, p. i.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.837890&sl=0
Department/Agency | Canada. Statistics Canada. Methodology Branch. |
---|---|
Title | A Monte-Carlo study of the first-order monthly seasonal moving average process / by Normand J. D. Laniel. |
Series title | Working paper ; 85-38 |
Publication type | Series - View Master Record |
Language | [English] |
Format | Electronic |
Electronic document | |
Note(s) | Digitized edition from print [produced by Statistics Canada]. Includes bibliographic references. |
Publishing information | [Ottawa] : Statistics Canada, [1985]. |
Author / Contributor | Laniel, Normand J. D. |
Description | ii, 13 [6] p. : figures. |
Catalogue number |
|
Departmental catalogue number | 11-614E |
Subject terms | Methodology Statistical analysis |
Request alternate formats
To request an alternate format of a publication, complete the Government of Canada Publications email form. Use the form’s “question or comment” field to specify the requested publication.- Date modified: