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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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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
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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
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