351 pages, 177 figs, 52 tabs
This book is intended for both undergraduate and graduate students in all branches of Earth science needing an introduction to any aspect of data treatment in connection with thesis preparation or writing up a project. It will also aid professional earth scientists to make the most of the interpretation of numerical data using spreadsheets and non-specialized commercial software. This is not merely a traditional statistics primer, it covers sampling, time series, orientation data in two and three dimensions and is very well illustrated with meaningful examples.
From the reviews: "All in all, Graham Borradaile has written and interesting and idiosyncratic book on statistics for geoscientists that will be welcome among students, researchers, and practitioners dealing with orientation data. That should include engineering geologists who work with things like rock fracture orientation measurements or clast alignment in paleoseismic trenches. It wonaaC--a t replace the collection of statistics and geostatistics texts in my library, but it will have a place among them and will likely be one of several references to which I turn when working with orientation data... The text is easy to follow and illustrations are generally clear and easy to read..."(William C. Haneberg, Haneberg Geoscience) "This monograph is an introductory course in statistically processed data types in earth sciences, where large sample contemporary methods of data gathering are required. ! The book is intended for higher course students and aspirants in all earth sciences. It will be helpful for professional researchers in data processing in electronic tables. In contrast to usual textbooks on statistics, this book includes material on sample formation, time series and oriented data up to three dimensions, and is illustrated by substantive examples." (Sultan G. Valeev, Zentralblatt MATH, Vol. 1041 (16), 2004) "The statistical analysis of geological data requires, more often than not, techniques that are only covered by advanced courses in statistics. ! G. Borradaile recognises this, and uses it as the starting point for his book ! . he succeeds in demonstrating how treatment of Earth Science data can be greatly enhanced and quantified without great pain. ! Statistics of Earth Science Data is a very convenient and complete introduction in statistics, with an approach that will be appreciated by geologists and other Earth scientists." (Kris Piessens, Geologica Belgica, Issue 7, 2004)
Introduction.- Sampling Schemes.- Central Tendency and Dispersion.- Theoretical Distributions: Binomial, Poisson and Normal Distributions.- Statistical Interference: Estimation and Hypothesis Tests.- Comparing Frequency.- Distribution Curves.- Regression: Linear, Curvilinear and Multilinear.- Correlation and Comparison of Variables.- Sequences, Cycles and Time-series.- Circular Orientation Data.- Spherical Orientation Data.- Spherical Orientation Data: Tensors.- Errors in Compound Quantities.- Notes on the Manual Use of Stereograms.
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