Geostatistics for Natural Resources Characterization: Part 1: Nato Science Series C:, cartea 122

Variogram.- Improving the Estimation and Modelling of the Variogram.- Towards Resistant Geostatistics.- Statistical Inference of the Semivariogram and the Quadratic Model.- Use of the Jackknife Method to Estimate Autocorrelation Functions (or Variograms).- Computing Variograms in Folded Strata-Controlled Deposits.- The Variogram and Kriging: Robust and Resistant Estimators.- The Variogram and its Estimation.- Inference for Spatial Autocorrelation Functions.- Precision of Global Estimation.- Precision of Estimation of Recoverable Reserves: The Notion of Conditional Estimation Variance.- Estimation Variance of Global Recoverable Reserve Estimates.- Combining Local Kriging Variances for Short-Term Mine Planning.- Application of a Geostatistical Method to Quantitatively Define Various Categories of Resources.- Kriging.- Conditional Bias in Kriging and a Suggested Correction.- Positive Kriging.- Correcting Conditional Bias.- mAD and Conditional Quantile Estimators.- Kriging Seismic Data in Presence of Faults.- Co-Kriging — New Developments.- Indicator Kriging.- The Place of Non-Parametric Geostatistics.- Indicator Kriging as Applied to an Alluvial Gold Deposit.- Estimating Local Recoverable Reserves Via Indicator Kriging.- Conditional Recovery Estimation Through Probability Kriging — Theory and Practice.- Recoverable Reserves.- Recovery Estimation: A Review of Models and Methods.- The Selectivity of the Distributions and “The Second Principle of Geostatistics”.- Local Estimation of the Recoverable Reserves: Comparing Various Methods with the Reality on a Porphyry Copper Deposit.- Isofactorial Models and Change of Support.- Geostatistical Application in Tabular Style Lead-Zinc Ore at Pine Point Canada.- Local Estimation of the Block Recovery Functions.- The BlockDistribution Given a Point Multivariate Normal Distribution.- Spectral Analysis and Data Analysis.- Three-Dimensional, Frequency-Domain Simulations of Geological Variables.- Factorial Kriging Analysis: A Substitute to Spectral Analysis of Magnetic Data.- The Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting.- The Analysis of Second-Order Stationary Processes: Time Series Analysis, Spectral Analysis, Harmonic Analysis, and Geostatistics.