Statistical Analysis Of Geological Data
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Statistical Analysis Of Geological Data
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Author : George Schneider Koch (Jr.)
language : en
Publisher:
Release Date : 1980
Statistical Analysis Of Geological Data written by George Schneider Koch (Jr.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with categories.
Statistical Analysis Of Geological Data
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Author : George S. Koch
language : en
Publisher:
Release Date : 1970
Statistical Analysis Of Geological Data written by George S. Koch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Science categories.
Statistics And Data Analysis In Geology
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Author : John C. Davis
language : en
Publisher: John Wiley & Sons
Release Date : 1973
Statistics And Data Analysis In Geology written by John C. Davis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Science categories.
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 topics, the Third Edition features new pedagogy, end-of-chapter review exercises, and an accompanying website that contains all of the data for every example and exercise found in the book.
Statistical Analysis Of Geological Data
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Author : George S. Koch
language : en
Publisher: Courier Corporation
Release Date : 2002-05-01
Statistical Analysis Of Geological Data written by George S. Koch and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-01 with Science categories.
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 And Data Analysis In Geology
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Author : John C. Davis
language : en
Publisher:
Release Date : 2002
Statistics And Data Analysis In Geology written by John C. Davis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Statistics For Geoscientists
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Author : D. Marsal
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Statistics For Geoscientists written by D. Marsal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Mathematics categories.
Presents nearly all the important elementary and analytical methods of statistics, designed for the needs of the geoscientist and completely free from higher mathematics. Translated from the second German edition.
Introduction To Geological Data Analysis
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Author : A. R. H. Swan
language : en
Publisher: Wiley-Blackwell
Release Date : 1995-03-29
Introduction To Geological Data Analysis written by A. R. H. Swan and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03-29 with Science categories.
Unlike most other sciences, geology does not have a strong tradition of numerical analysis. It is, however, increasingly common for primary geological information to be quantitative rather than descriptive, and analysis of numerical data is now a skill of immense value to any earth scientist. 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 encounter.
Compositional Data Analysis In The Geosciences
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Author : Antonella Buccianti
language : en
Publisher: Geological Society of London
Release Date : 2006
Compositional Data Analysis In The Geosciences written by Antonella Buccianti and has been published by Geological Society of London this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use Iogratios. Since then, the approach has seen a great expansion, mainly building on the idea of the `natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using Iogratios. This publication will be a milestone in this process.
Statistical Methods In Water Resources
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Author : D.R. Helsel
language : en
Publisher: Elsevier
Release Date : 1993-03-03
Statistical Methods In Water Resources written by D.R. Helsel and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-03-03 with Science categories.
Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Statistical Data Analysis Explained
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Author : Clemens Reimann
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-31
Statistical Data Analysis Explained written by Clemens Reimann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-31 with Science categories.
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 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 spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.