Random field characterisation of stress-normalised cone penetration testing parameters

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Statistical characterization of random field parameters using frequentist and Bayesian approaches (2016, methodology): “There are several techniques that can be employed to estimate and (in particular ), such as the method of moments (Uzielli et al. 2005; Dasaka and Zhang 2012; Firouzianbandpey et al. 2014; Lloret-Cabot et al. 2014), the fluctuation function method (Wickremesinghe and Campanella 1993; Cafaro and Cher”
A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (2015, methodology): “Although several methods, such as the method based on goodness-of-fitting of different theoretical ACFs to the sample ACF estimated from available site observation data (Uzielli et al., 2005), and the method based on information from conditional random fields (Lloret-Cabot et al.”
Bayesian identification of random field model using indirect test data (2016, methodology): “Then, the λ andM⁎ are determined by fitting a candidate correlation function (e.g.,M1–M4) to the SACF and comparing the goodnessof-fitting of different candidate correlation functions (e.g., Uzielli et al., 2005; Stuedlein et al., 2012).”