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  • Slope displacement monitoring seems like a simple task, concerning the present-day technology and methodology utilized to handle it. Basically, the procedure demands accurate and frequent measurements of relative displacements between active ground points versus stable ones, which is seemingly unambiguous and explicit problem. Nevertheless, some measurements, although they could look like an obvious deviation, do not have to represent shifting of the measured point, while even small change of the position could mean a significant shift in some cases. Statistical methods can help to improve landslide analyses, especially in questionable cases. Improvement can be reached by using the theory of regressive models and hypothesis testing in these models. Herein, the hypotheses state how stability or instability of individual points may affect the course of the regression model which describes the shift.
  • Slope displacement monitoring seems like a simple task, concerning the present-day technology and methodology utilized to handle it. Basically, the procedure demands accurate and frequent measurements of relative displacements between active ground points versus stable ones, which is seemingly unambiguous and explicit problem. Nevertheless, some measurements, although they could look like an obvious deviation, do not have to represent shifting of the measured point, while even small change of the position could mean a significant shift in some cases. Statistical methods can help to improve landslide analyses, especially in questionable cases. Improvement can be reached by using the theory of regressive models and hypothesis testing in these models. Herein, the hypotheses state how stability or instability of individual points may affect the course of the regression model which describes the shift. (en)
Title
  • Hypotheses testing in regression models and their using in landslide detection
  • Hypotheses testing in regression models and their using in landslide detection (en)
skos:prefLabel
  • Hypotheses testing in regression models and their using in landslide detection
  • Hypotheses testing in regression models and their using in landslide detection (en)
skos:notation
  • RIV/61989592:15310/10:10212333!RIV11-GA0-15310___
http://linked.open...avai/riv/aktivita
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  • P(GA205/09/1159), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 262591
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  • RIV/61989592:15310/10:10212333
http://linked.open...riv/jazykVysledku
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  • statistics, testing of hypotheses, ANOVA, model of measuring of vector parameter, landslide?s measuring, confidence ellipses, (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [79A3A3E0F2D0]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • Sborník - Sympozium GIS Ostrava 2010
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http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tuček, Pavel
  • Marek, Lukáš
  • Marek, Jaroslav
  • Pászto, Vít
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-2171-9
http://localhost/t...ganizacniJednotka
  • 15310
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