000193039 001__ 193039
000193039 003__ CZ-ZdVUG
000193039 005__ 20181127114058.0
000193039 020__ $$a978-0-7354-1392-4
000193039 041__ $$aeng
000193039 040__ $$aABC039$$bcze
000193039 1001_ $$aEliaš, Michal
000193039 24510 $$aOutlier detection using some methods of mathematical statistic in meteorological time-series
000193039 300__ $$a4 strany
000193039 5203_ $$9eng$$aIn many applications of Global Navigate Satellite Systems the meteorological time-series play a very important role, especially when representing source of input data for other calculations such as corrections for very precise positioning. We are interested in those corrections which are related to the troposphere delay modelling. Time-series might contain some nonhomogeneities, depending on the type of the data source. In this paper the outlier detection is discussed. For investigation we used method based on the autoregressive model and the results of its application were compared with the regression model.
000193039 6112_ $$aInternational Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2015)$$cRhodos, Greece$$d22–28 September 2015
000193039 655_4 $$apříspěvky na konferenci
000193039 7001_ $$aDouša, Jan
000193039 7730_ $$92016$$gVolume 1738, Issue 1$$tTSITOURAS, Charalambos, SIMOS, Theodore, ed. AIP Conference Proceedings: Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2015 (ICNAAM-2015). [Melville]: American Institute of Physics, 2016. ISBN 978-073541392-4. ISSN 0094-243X.$$x0094-243X$$z978-0-7354-1392-4
000193039 856__ $$uurn:doi:10.1063/1.4952295
000193039 85640 $$uhttps://www.researchgate.net/publication/303898034_Outlier_detection_using_some_methods_of_mathematical_statistic_in_meteorological_time-series
000193039 8564_ $$uhttp://knihovna.vugtk.cz/record/193039/files/i2016-dousa-elias-outlier.pdf
000193039 85640 $$ahttp://aip.scitation.org/doi/abs/10.1063/1.4952295
000193039 85642 $$uhttps://www.rvvi.cz/riv?s=jednoduche-vyhledavani&ss=detail&n=0&h=RIV%2F00025615%3A_____%2F16%3AN0000060%21RIV17-MSM-00025615
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000193039 985__ $$adousa
000193039 985__ $$aanotace
000193039 985__ $$aelias
000193039 985__ $$autvar24
000193039 985__ $$ariv
000193039 985__ $$aonline
000193039 999C1 $$9CURATOR$$aLD14102 - Rozvoj pokročilých metod zpracování GNSS observací v synergii s meteorologickými a klimatickými daty (2014 - 2017)$$bMŠMT LD