Parametric and nonparametric aproach for trend detection in time series | Parametricni in neparametricni pristopi za odkrivanje trenda v casovnih vrstah
2011
Kraner Sumenjak, T., Fakulteta za kmetijstvo in biosistemske vede, Maribor (Slovenia) | Sustar, V.
One of the most commonly used tools for detecting changes in time series is trend analysis. A number of parametric and nonparametric tests exist to detect the significance of trends in time series. The latter have been widely used mainly because of fewer number of assumptions needed in their implementation. The most often used test for detecting significant trends is Mann-Kendall test, that still
Show more [+] Less [-]AGROVOC Keywords
Bibliographic information
This bibliographic record has been provided by Slovenian National AGRIS Centre, Biotechnical Faculty, University of Ljubljana
