Titlebook: Geostatistics; A Colloquium Daniel F. Merriam (Chief of Geologic Research) Book 1970 Springer Science+Business Media New York 1970 classifi

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Experimental Designs and Trend-Surface Analysis,. One illustration of a good design for a quadratic trend model is given. This topic has relevance to geologists who are interested in trend-surface analysis, particularly to those who have responsibility of designing drilling patterns.

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Component Estimation under Uncertainty,umber of components exceeds the number of measured rock properties on which estimates are to be based. A probabilistic approach is proposed in which a prior probability distribution is imposed on values taken on by the set of components and optimal estimates are obtained by maximizing the conditiona

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Random Functions and their Application in Geology,f RF theory, therefore, may be used to describe and explain properties of geological phenomena as well as solving practical problems. Geostatistics in the strict sense are based on the variogram of a stationary (or, more generally, intrinsic) RF and imply applications in mining estimation. In the no

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The Geological Utility of Random Process Models, the fundamental complexity of the phenomena he studies, the geologist is usually unable to formulate his ideas in ways which lead from “first principles,” to precise quantitative evaluation. Yet assumptions regarding probabilistic mechanisms can be simple and intuitively appealing, while at the sam

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Autocorrelation Functions in Geology,on function if it is subject to a property analogous to the Markov property in time-series analysis..The problem of estimating autocorrelation functions from irregularly distributed map data is discussed. Approximate autocorrelation functions are shown for a set of 200 subsurface elevations on top o

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Some Further Inputs,ms of the current state of the arts of data analysis, spectrum analysis, and classical statistics. I would like to comment on several subjects, including rootograms, least squares, spectra, means and variances, the jackknife, and 2-dimensional schematic plots.