2 edition of Statistical analysis in geology found in the catalog.
Statistical analysis in geology
Bibliography: p. 59-60.
|Statement||Michel David, Michel Dagbert, and Yves Beauchemin.|
|Series||Quarterly of the Colorado School of Mines ; v. 72, no. 1, Quarterly of the Colorado School of Mines ;, v. 72, no. 1.|
|Contributions||Dagbert, Michel, joint author., Beauchemin, Yves, joint author.|
|LC Classifications||TN210 .C68 vol. 72, no. 1, QE33.2.M3 .C68 vol. 72, no. 1|
|The Physical Object|
|Pagination||v, 60 p. :|
|Number of Pages||60|
|LC Control Number||77005527|
Statistical analysis, Nairobi, Kenya. likes 8 talking about this. This is an educational website that enlighten people about statistical concepts and research work. This thoroughly revised edition presents important methods in the quantitative analysis of geologic data. Retains the basic arrangement of the previous edition but expands sections on probability, nonparametric statistics, and Fourier analysis. Contains revised coverage of eigenvalues and eigenvectors, and new coverage of data analysis methods, such as the semivariogram and the process of kriging.
Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every. It explains the background to production geology in the context of oil field subsurface operations. It also gives practical guidelines as to how a production geologist can analyze the reservoir geology and fluid flow characteristics of an oil field with the aim of improving hydrocarbon recovery.
Statistical Analysis Handbook - StatsRef A Handbook of Statistical Analyses National Association of State Boards of Geology (ASBOG Low Flow Statistics Tools Handbook Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses. Statistical Analysis of Rock Properties This book was written for students, new professionals in oil companies, and for anyone with an interest in reservoir geology. It explains the background to production geology in the context of oil field subsurface operations. It also gives practical guidelines as to how a production geologist can.
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It is useful not just for the tedious task of number crunching but for plotting informative graphics in a fast and interactive manner. Geostatistics is a branch of statistics focusing on spatial or spatiotemporal ped originally to predict probability distributions of ore grades for mining operations, it is currently applied in diverse disciplines including petroleum geology, hydrogeology, hydrology, meteorology, oceanography, geochemistry, geometallurgy, geography, forestry, environmental control, landscape.
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Statistics and Data Analysis in Geology - SOEST The computer is an indispensable tool for modern statistical analysis. It is useful not just for the tedious task of number crunching but for plotting informative graphics in a fast and interactive manner. The book presents multivariate statistical methods useful in geological analysis.
The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data.
Each of the methods is accompanied by a practically oriented computer program and backed up. Topics progress from background information to analysis of geological sequences, then maps, and finally multivariate observations.
The book places special emphasis on probability and statistics, including nonparametric statistics, constant-sum data, eigenvalue calculations, analysis of directional data, mapping and geostatistics, fractals, and.
Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach.
This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes. This web page presents images and data in support of "Statistics and Data Analysis in Geology," third edition, by John C.
Davis, Kansas Geological Survey, published by John Wiley & Sons, Inc. Data Files. ZIP archive for computers running MS Windows. SIT archive for Macintosh computers.
A statistical analysis of two consecutive sequences of observations on radiolarian abundances in the western North Pacific, by methods appropriate to data on the simplex (i.e., compositional data. statistical literature, particularly those publications listed in the bibliography, thus ending better qualified to independently apply statistics; • may have learned some more theoretically sound and convincing ways to prepare results; • might be more aware both of uncertainties commonly associated with geological modeling and of the.
Unfortunately, many of the applications of such statistical methods fail to emphasize either the chemistry or the geology of the system. Future applications should attempt to integrate the purely statistical analysis with geochemical and geological knowledge to achieve the most useful and realistic interpretation possible.
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Statistical analysis is a standard tool used by sedimentologists, who are concerned with sampling and describing properties of populations of particles. They use summary statistics such as the range, mean, mode, median, standard deviation, variance, skewness.
This book covers extensive discussions about the distribution, sampling, inference, analysis of variances, transformations of univariate statistical methods, analyses of geological trends and multivariate data, ratios and variables of constant sum, exploration for natural resources, and evaluation of computers and geology.Thoroughly revised and updated, this new edition of the text that helped define the field continues to present important methods in the quantitative analysis of geologic data, while showing students how statistics and computing can be applied to commonly encountered problems in the earth sciences.
In addition to new and expanded coverage of key.