By Mikhail Kanevski; Michel Maignan

ISBN-10: 2940222029

ISBN-13: 9782940222025

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8 Multiquadric equations. Cross·,·a li

28. GSO 3-dimensional declustering module. Sclcetion of dccluslcring procedure: cell, random and corresponding parameters of the methods. In fact, there is a possibility of functional random declustering. e. when for each cell data are binned {number of function levels), such as for histogram modelling and then from each bin one value is randomly picked up. e. the qualitative and quantitative description) of the monitoring networks and the declustering. These steps allow to achieve first a global understanding of the main statistical characteristics: are several sub-populations present or is there only one with some outliers?

Ck .. 13 2 Te .. , . -· � ' ... � Fig. 6 Trend detection by projecting data onto X. Y coordinate axis. IOI SOO " : E "" •OllO � "91 5715 661 7415 I! 8Jt OI)I � � Standard Oev�on � � lllO 11111 ••AlO 491 576 • · '. · � " · - · · ' ' � Mnn Value ... , •• � I "" '' ';! .. , � .. "" ·� oo � Median :' • 491 831 .. &61 7'6 B ll Flg. 7 mes Swiss data. Moving window statistics: number ofpoints in the window, medfan, mean value, standard deviation. 7. The basic statistical parameters, like the mean and median values, number of points in the window and standard deviation are given.

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Analysis and Modelling of Environmental Data by Mikhail Kanevski; Michel Maignan

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