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Integrated framework for characterization of spatial variability of geological profiles

https://doi.org/10.1139/cgj-2016-0189
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Statistics for Spatial Data
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Geostatistical mapping of geomorphic variables in the presence of trend
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Bayesian system identification based on probability logic
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Interpolation of Spatial Data
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Spatial prediction of soil properties in a watershed scale through maximum likelihood approach
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Asymptotics for REML estimation of spatial covariance parameters
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Site-specific probability distribution of geotechnical properties
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Bayesian approach for probabilistic characterization of sand friction angles
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Bayesian perspective on geotechnical variability and site characterization
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The Matérn function as a general model for soil variograms
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Bayesian model comparison and selection of spatial correlation functions for soil parameters
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Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers
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Estimating variograms of soil properties by the method‐of‐moments and maximum likelihood
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Estimating Autocovariance of In‐Situ Soil Properties
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Identification of Statistically Homogeneous Soil Layers Using Modified Bartlett Statistics
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Influence of Spatial Variability on Slope Reliability Using 2-D Random Fields
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Geotechnical Characterization and Random Field Modeling of Desiccated Clay
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Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests
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Using Conditioned Random Field to Characterize the Variability of Geologic Profiles
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Unresolved Problems in Geotechnical Risk and Reliability
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Probabilistic Modeling of Soil Profiles
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Detection of Influential Observation in Linear Regression
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Residuals for the Linear Model With General Covariance Structure
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A Simple Derivation of Deletion Diagnostic Results for the General Linear Model with Correlated Errors
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Model‐based analysis using REML for inference from systematically sampled data on soil
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On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor (E‐BLUP) with REML
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An Analysis of Transformations
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Probabilistic identification of underground soil stratification using cone penetration tests
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Spatial correlation length of normalized cone data in sand: case study in the north of Denmark
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Bearing-capacity prediction of spatially random c ϕ soils
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An overview of soil heterogeneity: quantification and implications on geotechnical field problems
inferredcites →https://doi.org/10.1139/t03-091openalex-snapshot
Geostatistical analysis of cone penetration test (CPT) sounding using the modified Bartlett test
inferredcites →https://doi.org/10.1139/t06-062openalex-snapshot
Stochastic stability analysis of a test excavation involving spatially variable subsoil
inferredcites →https://doi.org/10.1139/t90-076openalex-snapshot
Modelling spatial variability of soil parameters
inferredcites →https://doi.org/10.1139/t95-001openalex-snapshot
Characterizing spatial variability of a clay by geostatistics
inferredcites →https://doi.org/10.1139/t99-038openalex-snapshot
Characterization of geotechnical variability
inferredcites →https://doi.org/10.1139/t99-039openalex-snapshot
Evaluation of geotechnical property variability
inferredcites →https://doi.org/10.1201/9780203492024openalex-snapshot
Gaussian Markov Random Fields
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1680/geot.13.t.018openalex-snapshot
Bayesian identification of soil strata in London clay
inferredcites →https://doi.org/10.1680/geot.8.p.151.3786openalex-snapshot
Spatial variability of in situ weathered soil
inferredcites →https://doi.org/10.1680/mgr.29675openalex-snapshot
Managing geotechnical risk: improving productivity in UK building and construction
inferredcites →https://doi.org/10.2307/1911963openalex-snapshot
A Simple Test for Heteroscedasticity and Random Coefficient Variation
inferredcites →https://doi.org/10.2307/2533238openalex-snapshot
Statistics for Spatial Data, Revised Edition.
inferredcites →https://doi.org/10.2307/2581267openalex-snapshot
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
inferredcites →https://doi.org/10.2307/2669494openalex-snapshot
Interpolation of Spatial Data: Some Theory for Kriging
inferredcites →https://doi.org/10.3233/978-1-61499-580-7-159openalex-snapshot
Analyzing Spatial Variability of Geologic Profiles for Four Sites in Hong Kong
inferredcites →https://doi.org/10.32614/rj-2012-011openalex-snapshot
influence.ME: Tools for Detecting Influential Data in Mixed Effects Models

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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