A Note on the Saddlepoint Approximation in the First Order Non-Circular Autoregression
Peter Phillips
No 487, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
In approximating the small sample distribution of the least squares estimator of the coefficient in a non-circular autoregression the saddlepoint method is complicated by the presence of a branch point of the integrand within the natural contour of integration. Some new approximations are given based on a contour looping around the branch point; and a uniform approximation which is valid as the saddlepoint crosses branch point is also developed.
Pages: 14 pages
Date: 1978
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d04/d0487.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cwl:cwldpp:487
Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.
Access Statistics for this paper
More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().