Last edited by Meziktilar

Sunday, July 19, 2020 | History

2 edition of **Statistical analysis in the geological sciences** found in the catalog.

Statistical analysis in the geological sciences

Robert L. Miller

- 177 Want to read
- 12 Currently reading

Published
**1962**
by John Wiley in New York, London
.

Written in English

- Geology -- Statistical methods.

**Edition Notes**

Statement | Robert L. Miller, James Steven Kahn. |

Contributions | Kahn, James Steven. |

The Physical Object | |
---|---|

Pagination | xii,483p. : |

Number of Pages | 483 |

ID Numbers | |

Open Library | OL18433802M |

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. 1 Introduction. Multivariate analysis is an important tool in data management and it has been widely used in managing and interpreting geochemical characterisation of groundwater [1,2] in geochemical characterization of soils science [3,4].Water quality changes of surface waters [5,6] and groundwater resources [] were also studied recently by using this : József Kovács.

There are 43 publications in this section of the bibliography. The above list is sorted by publication type. There are 2 Books and Book Chapters, 11 Conference Proceedings Papers, 1 Fact Sheets, 18 Journal Articles, 3 Student Theses/Dissertations, 7 Reports (USGS)s, and 1 . Statistics and Data Analysis in Geology —Chapter4:Clariﬁcation depth interval distance 1and2 2and3 3and4 4and5 5and6 6and7 7and8

STATISTICAL DATA ANALYSIS FOR THE PHYSICAL SCIENCES Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. The authors of this book have set out to provide students at undergraduate and graduate level with a thorough grounding in the statistical techniques required in the earth sciences. All the modern statistical methods employed by geologists and geophysicists are covered, with clear worked examples using the type of data the reader is likely to 3/5(1).

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Genre/Form: Statistics: Additional Physical Format: Online version: Miller, Robert L. (Robert Lee), Statistical analysis in the geological sciences.

The final chapter of the book is dedicated to "unfolding", a topic largely ignored in books about the same class.

No book is perfect and, in my opinion, the faults of this are: 1. The chapter about statistical test could be improved with more detailed explanations. by: 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. () Shape Analysis and Classification: Theory and Practice.

CRC Press, Boca Raton, Fl. I'd be satisfied if Dr. Davis would add a chapter or two on these to the book's web by: geological systems; it is the result of incomplete knowledge by the observer.

• To a large extent, earth sciences aim to inferring past processes and predicting future events based on relationships among attributes, preferably quantifying uncertainty. Statistics is an important component in the emerging fields of data mining and geoinformatics.

Title: Geomathematics. (Book Reviews: Statistical Analysis in the Geological Sciences) Book Authors: Miller, Robert L.; Kahn, James Steven Review Author: Griffiths. 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.

Statistical analysis is a standard tool used by sedimentologists, who are concerned with sampling and describing properties of populations of particles. UNESCO – EOLSS SAMPLE CHAPTERS GEOINFORMATICS – Vol.

II - Statistical Analysis in the Geosciences - Grunsky, E.C. ©Encyclopedia of Life Support Systems (EOLSS) STATISTICAL ANALYSIS IN THE GEOSCIENCES Grunsky, E.C. Geological Survey of. 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. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems.

The authors present several different statistical approaches to the environmental sciences. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences.

The book concerns the application of statistical and other computer methods to the management, analysis and display of. 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.

@article{osti_, title = {Statistical Methods for Environmental Pollution Monitoring}, author = {Gilbert, Richard O.}, abstractNote = {The application of statistics to environmental pollution monitoring studies requires a knowledge of statistical analysis methods particularly well suited to pollution data.

This book fills that need by providing sampling plans, statistical tests. statistical methods in the atmospheric sciences Download statistical methods in the atmospheric sciences or read online books in PDF, EPUB, Tuebl, and Mobi Format.

Click Download or Read Online button to get statistical methods in the atmospheric sciences book now. This site is like a library, Use search box in the widget to get ebook that you. Numerical Analysis for the Geological Sciences is a textbook primarily written for "geologists, geological (and geotechnical) engineers, environmental engin- eers, civil engineers, mining engineers, and petroleum engineers." The text is aimed at students in upper level undergraduate : Eric Grunsky.

The book can also be used by decision makers and researchers to either gain basic understanding or to extend their knowledge of some of the most commonly used statistical methods.

They also make predictions about future changes of the planet. All these steps in exploring the system Earth include the acquisition and analysis of numerical data. An earth scientist needs a solid knowledge in statistical and numerical methods to analyze these data, as well as the ability to use suitable software packages on a : Martin H.

Trauth. Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods.

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead.

To use the book efficiently, readers should have some computer experience. The book. 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.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.Statistics is the science of inferring knowledge from data and describing uncertainty in those inferences. It plays a central role in scientific research, social policy, and governance.

The Department of Statistics has a world-class record of success in education, research and service and has an out-sized impact on campus because of its engagement in educating students in all disciplines and.