Aspects of Multivariate Statistical Analysis in Geology

Aspects of Multivariate Statistical Analysis in Geology PDF Author: E. Savazzi
Publisher: Elsevier
ISBN: 0080527612
Category : Science
Languages : en
Pages : 297

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Book Description
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 by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. An important feature of this book is the graphical system developed by Dr. Savazzi which is entitled Graph Server. Geological data often deviate from ideal statistical requirements. For this reason, close attention has been paid to the analysis of data that contain atypical observations.

Aspects of Multivariate Statistical Analysis in Geology

Aspects of Multivariate Statistical Analysis in Geology PDF Author: E. Savazzi
Publisher: Elsevier
ISBN: 0080527612
Category : Science
Languages : en
Pages : 297

Get Book Here

Book Description
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 by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. An important feature of this book is the graphical system developed by Dr. Savazzi which is entitled Graph Server. Geological data often deviate from ideal statistical requirements. For this reason, close attention has been paid to the analysis of data that contain atypical observations.

Applied Multivariate Statistics in Geohydrology and Related Sciences

Applied Multivariate Statistics in Geohydrology and Related Sciences PDF Author: Charles E. Brown
Publisher: Springer Science & Business Media
ISBN: 3642803288
Category : Science
Languages : en
Pages : 330

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Book Description
It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi cally is geared toward scientists doing studies in geohydrology and related geo sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".

Multivariate Statistical Analysis in Geology

Multivariate Statistical Analysis in Geology PDF Author: R. A. Reyment
Publisher:
ISBN:
Category :
Languages : en
Pages : 16

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Book Description


Aspects of the Geology of Nigeria

Aspects of the Geology of Nigeria PDF Author: R. A. Reyment
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 200

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Book Description


Statistical Analysis of Geological Data

Statistical Analysis of Geological Data PDF Author: George S. Koch
Publisher: Courier Corporation
ISBN: 0486495124
Category : Science
Languages : en
Pages : 835

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Book Description
Extensive discussions cover 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. No previous knowledge of statistics necessary.

Multivariate Geostatistics

Multivariate Geostatistics PDF Author: Hans Wackernagel
Publisher: Springer Science & Business Media
ISBN: 3662030985
Category : Science
Languages : en
Pages : 263

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Book Description
Introducing geostatistics from a multivariate perspective is the main aim of this book. The idea took root while teaching geostatistics at the Centre de Geostatis tique (Ecole des Mines de Paris) over the past ten years in the two postgraduate programs DEA and CFSG. A first script of lecture notes in French originated from this activity. A specialized course on Multivariate and Exploratory Geostatistics held in September 1993 in Paris (organized in collaboration with the Department of Statistics of Trinity College Dublin) was the occasion to test some of the mate rial on a pluridisciplinary audience. Another important opportunity arose last year when giving a lecture on Spatial Statistics during the summer term at the Department of Statistics of the University of Washington at Seattle, where part of this manuscript was distributed in an early version. Short accounts were also given during COMETT and TEMPUS courses on geostatistics for environment al studies in Fontainebleau, Freiberg, Rome and Prague, which were sponsored by the European Community. I wish to thank the participants of these various courses for their stimulating questions and comments. Among the organizers of these courses, I particularly want to acknowledge the support received from Georges Matheron, Pierre Chau vet, Margaret Armstrong, John Haslett and Paul Sampson. Michel Grzebyk has made valuable comments on Chapters 26 and 27, which partly summarize some of his contributions to the field.

Statistical Analysis of Geological Data

Statistical Analysis of Geological Data PDF Author: George S. Koch
Publisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 400

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Book Description


Statistical Analysis in Geology

Statistical Analysis in Geology PDF Author: John M. Cubitt
Publisher: Hutchinson Ross Publishing Company
ISBN:
Category : Science
Languages : en
Pages : 376

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Book Description
The expansion of statistics; Classical statistics; The frequency-distribution of igneous rocks; A test for the significance of lithological variations; Application of logarithmic moments to size frequency distributions of sediments; On the role of the logarithmically normal law of frequency distribution in petrology and geochemistry; Statistics in sedimentary petrology; Studies in quantitative paleontology II multivariate analysis - a new analytical tool for paleontology and geology; Experimental design in the earth sciences; Sedimentation time trend functions and their application for correlation of sedimentary deposits; Classification of modern bahamian carbonate sediments; Multivariate analytical treatment of quantitative species associations: an example from paleoecology; Cluster analysis applied to multivariate geologic problems; The statistics of orientation data; Statistical methods - a second look; Some consequences of applying lognormal theory to pseudolognormal distributions; An approximate statistical test for correlations between proportions; Critical review of some multivariate procedures in the analysis of geochemical data; Factor analysis; Problems of sampling in geoscience; New statistical methods; Principles of geostatistics; Markovian models in stratigraphic analysis; Interpretation of complex lithologic successions by substitutability analysis; An empirical discrimanant method applied to sedimentary-rock classification from major-element geochemistry; Progress in R- and Q- mode analysis: correspondence analysis and its application to the study of geological processes; References; Author citation index.

Statistics and Data Analysis in Geology

Statistics and Data Analysis in Geology PDF Author: John C. Davis
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 660

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Book Description
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.

Multivariate Data Analysis

Multivariate Data Analysis PDF Author: Kim H. Esbensen
Publisher: Multivariate Data Analysis
ISBN: 9788299333030
Category : Experimental design
Languages : en
Pages : 622

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Book Description
"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.