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Methods Used In The Seasonal Variations Analysis Of Time Series

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Author Info

  • Angelica BACESCU-CARBUNARU

    (Academy of Economic Studies, Bucharest)

  • Monica CONDRUZ-BACESCU

    (Academy of Economic Studies, Bucharest)

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    Abstract

    Statistical data established in dynamic or time series differ from other data sets being ordered according to the time variable. Herein lies the importance of studying the time series. You can determine the important role of the time factor in socio-economic phenomena as well as in other areas. In fact, in the economic and social life, a great part of the data subject to research are provided as time series. An important component of time series together with trend, cyclical and random oscillations are seasonal fluctuations. The paper presents methods through which seasonal fluctuations can be analyzed.

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    File URL: http://www.revistadestatistica.ro/Articole/2013/RRS_03_2013_a2_en.pdf
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    Bibliographic Info

    Article provided by Romanian Statistical Review in its journal Romanian Statistical Review.

    Volume (Year): 61 (2013)
    Issue (Month): 3 (April)
    Pages: 12-18

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    Handle: RePEc:rsr:journl:v:61:y:2013:i:3:p:12-18

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    Keywords: oscillations; series; model index (ratio) of seasonality; mass phenomena; interferences; frequency;

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