59 302–315.ĭoane D P and Seward L E 2011 Measuring skewness: A forgotten statistic J.
#INCOMPLETE GAUSS NEWTON INVERSION RES2DINV WINDOWS#
3 93–104.Ĭramer D 1998 Fundamental Statistics for Social Research: Step-by-step Calculations and Computer Techniques using SPSS for Windows London: New York, Routledge.Ĭramer D and Howitt D L 2004 The Sage Dictionary of Statistics: A Practical Resource for Students in the Social Sciences Sage, London and Thousand Oaks, CA.ĭahlin T, Wisén R and Zhang D 2007 3D effects on 2D resistivity imaging–modelling and field surveying results In: 13th European Meeting of Environmental and Engineering Geophysics, Istanbul, Turkey.ĭe Donno G and Cardarelli E 2017 Tomographic inversion of time-domain resistivity and chargeability data for the investigation of landfills using a priori information Waste Manag. 79(2) B37–B50.īery A A and Saad R 2012 Clayey sand soil’s behaviour analysis and imaging subsurface structure via engineering characterizations and integrated geophysicals tomography modeling methods Int. Accuracy of the models was assessed using coefficient of determination ( \(R^\) storage site, Ketzin, Germany Geophys. The generated SLR coefficients were used to estimate \(\rho _t\) for different \(\rho _a\) datasets for validation. Three models, one each for the three array types, are thus developed based on simple linear relationships between the dependent and independent variables. For the fact that subsurface resistivity is nonlinear, the datasets were first transformed into logarithmic scale to satisfy the basic regression assumptions. The parameters investigated are apparent resistivity ( \(\rho _a \)) and true resistivity ( \(\rho _t\)) as independent and dependent variables, respectively. The arrays considered are Wenner, Wenner–Schlumberger and dipole–dipole.
The objective is to minimize the processing time and computer memory required to carry out inversion with conventional algorithms. Simple linear regression (SLR) models for rapid estimation of true subsurface resistivity from apparent resistivity measurements are developed and assessed in this study.
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