"Hypotheses testing in regression models and their using in landslide detection" . . . "Tu\u010Dek, Pavel" . . . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . "Marek, Luk\u00E1\u0161" . "Ostrava" . "Sborn\u00EDk - Sympozium GIS Ostrava 2010" . . "Ostrava" . "Marek, Jaroslav" . "statistics, testing of hypotheses, ANOVA, model of measuring of vector parameter, landslide?s measuring, confidence ellipses,"@en . "P\u00E1szto, V\u00EDt" . "978-80-248-2171-9" . . . "[79A3A3E0F2D0]" . "15310" . . "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 . . . . . "Hypotheses testing in regression models and their using in landslide detection"@en . "10"^^ . . . . "4"^^ . . . . . . "262591" . . "4"^^ . "RIV/61989592:15310/10:10212333" . "Hypotheses testing in regression models and their using in landslide detection" . . "2010-01-24+01:00"^^ . "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." . "Hypotheses testing in regression models and their using in landslide detection"@en . "RIV/61989592:15310/10:10212333!RIV11-GA0-15310___" . "P(GA205/09/1159), S" . .