Evaluation of the Distribution Function of Sample Maxima in Stationary Random Sequences with Pseudo-Stationary Trend
Alexander Kudrov ()
Applied Econometrics, 2008, vol. 11, issue 3, 64-86
Abstract:
By using stochastic simulation techniques the author compares a method of evaluation of the distribution function of sample maxima in stationary random sequences with a pseudo-stationary trend to the classical approach where the trend is not taken into account. This approach has been applied both to electricity consumption in Russia and to air temperature records in the central England
Keywords: stochastic simulation; electricity consumption (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2008
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_2008_3_64-86.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:0120
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 ().