Estimating the means and the covariances of fuzzy random variables
Alexey Shvedov
Applied Econometrics, 2016, vol. 42, 121-138
Abstract:
At present, methods of fuzzy mathematics are applied in different fields. For example, fuzzy numbers can be used to model returns of assets in portfolio selection problem when historical data is unavailable. While for other assets possibility of using random variables should be kept. This paper presents new estimators of the means and the covariances of fuzzy random variables. Unbiasedness and consistency of these estimators are established.
Keywords: fuzzy data analysis; fuzzy random variables; point estimation; unbiasedness; consistency (search for similar items in EconPapers)
JEL-codes: C13 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2016_42_121-138.pdf Full text (application/pdf)
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:ris:apltrx:0294
Access Statistics for this article
Applied Econometrics is currently edited by Anatoly Peresetsky
More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky (p.ekonometrika@gmail.com).