STATISTICAL METHODS USED IN THE ANALYSIS AND FORECAST OF THE TOURISM ACTIVITY AFFECTED BY SEASONALITY
Constantin Secăreanu () and
Daniela Firoiu ()
Additional contact information
Constantin Secăreanu: Romanian American University, Bucharest
Daniela Firoiu: Romanian American University, Bucharest
Romanian Economic Business Review, 2011, vol. 6, issue 4, 150-157
Abstract:
A lot of economic activities (tourism, commerce, transport, agriculture, constructions etc.) witness a different evolution of the performance indicators throughout the year, as there are seasonal variations (oscillations) on shorter intervals of time (trimesters, months, weeks, even days). These periodic variations, on time lapses shorter than a year, get repeated with relative accuracy from one period to another. The objective of this paper is to analyze the possibilities of quantification of the phenomenon of tourism seasonality, through the utilization of two methods: the seasonal coefficients and the decomposition of the chronological series to its main components.
Keywords: Tourism; seasonality; statistical methods (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/journl/WI11/REBE-WI11-A14.pdf (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:rau:journl:v:6:y:2011:i:4:p:150-157
Access Statistics for this article
More articles in Romanian Economic Business Review from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().