Titlebook: Statistical Methods for the Earth Scientist; An Introduction Roger Till Textbook 1974Latest edition Roger Till 1974 earth.statistical metho

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Statistics and Measurement in the Earth Sciences,ervations. At about this time the theoretical basis of the science of statistics was being laid, and today we find the ideas of statistics on a firm basis and applied to the collection, summary and analysis of all types of data.

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Some Distributions and Their Properties,ead of porosity values. This variation in the porosity is a real property. It is one of the characteristics of the sandstone body and might for example, relate to variations in grain size and cementation of the rock.

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Conclusion, and Kahn (1962), Krumbein and Graybill (1965), Koch and Link (1970, 1971) and Davis (1973), who devote the largest part of their books to deriving and giving worked examples of the application of more advanced statistical procedures to earth science data.

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Analysis of Variance,ones different? Such questions are often asked in all parts of the earth sciences and indeed in many other sciences as well. A comprehensive and powerful set of procedures, all based on the .-test devised by Fisher, originally for agricultural use, and referred to generally as ‘analysis of variance’ have been developed.

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Statistics and Measurement in the Earth Sciences,ntitled ‘Statistics’ and deals with ‘the science that teaches us what is the political arrangement of all the modern States of the known world’ (Yule and Kendall, 1953). In the early decades of the nineteenth century the change to ‘statistics’ representing the characters of a State by numerical meth

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Some Distributions and Their Properties,ed this property, using some appropriate technique, we might locate the value obtained on a map to see how the porosity of the sandstone varies over the whole basin. In addition, we may want to characterise the whole sandstone body by some sort of average, together with a parameter to define the spr

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Correlation and Regression,near correlation assesses the degree of relationship between two variables measured on a number of individuals. Regression allows us to quantify the relationship between this pair of variables (if a significant relationship does exist), so that other values can be predicted.