Practical Environmental Statistics and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Environmental Statistics and Data Analysis write by Yue Rong. This book was released on 2011. Practical Environmental Statistics and Data Analysis available in PDF, EPUB and Kindle. "Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher.
Practical Environmental Statistics and Data Analysis
Practical Environmental Statistics and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Environmental Statistics and Data Analysis write by Yue Rong. This book was released on 2011. Practical Environmental Statistics and Data Analysis available in PDF, EPUB and Kindle.
Practical Statistics for Environmental and Biological Scientists
Practical Statistics for Environmental and Biological Scientists - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Statistics for Environmental and Biological Scientists write by John Townend. This book was released on 2013-04-30. Practical Statistics for Environmental and Biological Scientists available in PDF, EPUB and Kindle. All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand. Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.
Statistical Data Analysis Explained
Statistical Data Analysis Explained - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Data Analysis Explained write by Clemens Reimann. This book was released on 2011-08-31. Statistical Data Analysis Explained available in PDF, EPUB and Kindle. 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.
Environmental Statistics
Environmental Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Environmental Statistics write by Vic Barnett. This book was released on 2005-12-13. Environmental Statistics available in PDF, EPUB and Kindle. In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment – collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues. Provides broad coverage of the methodology used in the statistical investigation of environmental issues. Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards. Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues. Authored by a leading authority on environmental statistics.
