The univariate distribution function for a particular bilinear model
Francesco Giordano ()
Additional contact information
Francesco Giordano: Universitá di Salerno
Statistical Methods & Applications, 2004, vol. 13, issue 2, No 3, 167-178
Abstract:
Abstract. The aim of the paper is to find the univariate stationary distribution of a particular bilinear process. In this context, we propose a novel approach to derive the distribution function. It is based on a recursive formula and allows to relax the conditions on the moments of the process. We also show that the derived approximation converges to the “true” distribution function. The accuracy of the recursive formula is evaluated for finite sample dimensions by a small simulation study.
Keywords: Nonlinearity; Bilinear Model; Edgeworth series (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10260-004-0096-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:stmapp:v:13:y:2004:i:2:d:10.1007_s10260-004-0096-0
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2
DOI: 10.1007/s10260-004-0096-0
Access Statistics for this article
Statistical Methods & Applications is currently edited by Tommaso Proietti
More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().