Statistical Data Analysis Explained

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.

Statistical Data Analysis Explained

Statistical Data Analysis Explained

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.

More Books:

Statistical Data Analysis Explained
Language: un
Pages: 362
Authors: Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter
Categories: Science
Type: BOOK - Published: 2011-08-31 - Publisher: John Wiley & Sons

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
Statistical Data Analysis
Language: un
Pages:
Authors: Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter
Categories: Science
Type: BOOK - Published: - Publisher: Pathways to Higher Education

Books about Statistical Data Analysis
Statistical Data Analysis Using SAS
Language: un
Pages: 677
Authors: Mervyn G. Marasinghe, Kenneth J. Koehler
Categories: Computers
Type: BOOK - Published: 2018-05-13 - Publisher: Springer

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated
Statistical Analysis for Environmental Data With R
Language: un
Pages: 132
Authors: Barbara Steiger
Categories: Mathematics
Type: BOOK - Published: 2008-05-01 - Publisher:

For environmental data classical statistical analysis are often not useful which makes it necessary to find new methods to solve the resulting problems. To make it easier to understand the problems, and the solutions, for environmental data, this book tries to avoid mathematical formulae as much as possible. Therfore many
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
Language: en
Pages: 557
Authors: Miguel F. Acevedo
Categories: Mathematics
Type: BOOK - Published: 2012-12-07 - Publisher: CRC Press

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustain

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