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Trend Component Analysis of Time Series

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43933041" target="_blank" >RIV/49777513:23520/17:43933041 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85035328716&origin=resultslist&sort=plf-f&src=s&sid=3aa67330a930e11e62786ab33329b00f&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=1&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85035328716&origin=resultslist&sort=plf-f&src=s&sid=3aa67330a930e11e62786ab33329b00f&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=1&citeCnt=0&searchTerm=</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Trend Component Analysis of Time Series

  • Original language description

    This paper deals with the problem of trend component estimation particularly for economic time series. The proposed approach could be used in many applications e.g. GDP, unemployment, stock markets etc. There will be presented one method using orthonormal system generated by Gram-Schmidt orthonormalization process from some available linearly independent sequence of time series or functions in an inner product space. Obtained results are then applied to the real data sets of the foreign trade and consumer price index.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    APLIMAT 2017 PROCEEDINGS

  • ISBN

    978-80-227-4650-2

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    12

  • Pages from-to

    1528-1539

  • Publisher name

    Vydavateľstvo SPEKTRUM STU

  • Place of publication

    Bratislava

  • Event location

    Bratislava, Slovenská republika

  • Event date

    Jan 31, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article