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Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R
A Book

by Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli

  • Publisher : Elsevier
  • Release : 2019-09-13
  • Pages : 240
  • ISBN : 0128186232
  • Language : En, Es, Fr & De
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Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures

Statistical Data Analysis Explained

Statistical Data Analysis Explained
Applied Environmental Statistics with R

by Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter

  • Publisher : John Wiley & Sons
  • Release : 2011-08-31
  • Pages : 362
  • ISBN : 1119965284
  • Language : En, Es, Fr & De
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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 with R and S-Plus Second Edition

Environmental Statistics with R and S-Plus Second Edition
A Book

by Steven P. Millard,Nagaraj K. Neerchal,Philip Dixon

  • Publisher : CRC PressI Llc
  • Release : 2012-02
  • Pages : 512
  • ISBN : 9781439810279
  • Language : En, Es, Fr & De
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Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. Continuing to emphasize lognormal distributions, censored data, and computing, this edition includes additional material on equivalence testing. It also illustrates environmental sampling designs using the public domain package VSP. In addition, the authors provide a detailed discussion of spatial mapping procedures and spatial mapping analysis in R. Along with updated problem sets and new examples, this edition contains numerous new references that bring the research up to date.

Statistical Methods for Environmental and Agricultural Sciences

Statistical Methods for Environmental and Agricultural Sciences
A Book

by Reza Hoshmand

  • Publisher : CRC Press
  • Release : 1997-08-26
  • Pages : 464
  • ISBN : 9780849331527
  • Language : En, Es, Fr & De
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The first edition of this book, popular around the world, is surpassed only by this new Second Edition. Improvements such as new and revised exercises, a broad range of practical and relevant case studies, and expanded theoretical concepts make this even better for users of statistics. The book emphasizes the practical application of statistics and provides examples in various fields of environmental and agriculture sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with elementary algebra and mathematical notations to understand and apply the concepts described. This logically organized book covers the following topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides descriptive measures of central tendency and variability; Part 2 covers probability and sampling concepts used in inferential statistics; Part 3 presents parametric methods in hypothesis testing, which include research designs; Part 4 discusses a number of nonparametric techniques; Part 5 explains tests of association and prediction; and lastly, analysis of change over time is detailed in Part 6. The appendices contain statistical tables for reference purposes.

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Data Analysis and Statistics for Geography, Environmental Science, and Engineering
A Book

by Miguel F. Acevedo

  • Publisher : CRC Press
  • Release : 2012-12-07
  • Pages : 557
  • ISBN : 1466592214
  • Language : En, Es, Fr & De
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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

Who's who in Technology Today

Who's who in Technology Today
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1980
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Modern Applied Statistics with S

Modern Applied Statistics with S
A Book

by W.N. Venables,B.D. Ripley

  • Publisher : Springer Science & Business Media
  • Release : 2003-09-02
  • Pages : 498
  • ISBN : 9780387954578
  • Language : En, Es, Fr & De
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A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Applied Compositional Data Analysis

Applied Compositional Data Analysis
With Worked Examples in R

by Peter Filzmoser,Karel Hron,Matthias Templ

  • Publisher : Springer
  • Release : 2018-11-03
  • Pages : 280
  • ISBN : 3319964224
  • Language : En, Es, Fr & De
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This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.

Foundational and Applied Statistics for Biologists Using R

Foundational and Applied Statistics for Biologists Using R
A Book

by Ken A. Aho

  • Publisher : CRC Press
  • Release : 2016-03-09
  • Pages : 618
  • ISBN : 1439873399
  • Language : En, Es, Fr & De
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Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complica

Statistics and Data with R

Statistics and Data with R
An Applied Approach Through Examples

by Yosef Cohen,Jeremiah Y. Cohen

  • Publisher : John Wiley & Sons
  • Release : 2008-11-20
  • Pages : 618
  • ISBN : 047072188X
  • Language : En, Es, Fr & De
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R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more. The software is maintained and developed by academicians and professionals and as such, is continuously evolving and up to date. Statistics and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge of statistics or R, the book includes: A comprehensive introduction to the R language. An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results. Over 300 examples, including detailed explanations of the R scripts used throughout. Over 100 moderately large data sets from disciplines ranging from Biology, Ecology and Environmental Science to Medicine, Law, Military and Social Sciences. A parallel discussion of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods. Two extensive indexes that include references to every R function (and its arguments and packages used in the book) and to every introduced concept.

Journal of Applied Statistical Science

Journal of Applied Statistical Science
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Modern Data Science with R

Modern Data Science with R
A Book

by Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton

  • Publisher : CRC Press
  • Release : 2021-03-31
  • Pages : 673
  • ISBN : 0429575394
  • Language : En, Es, Fr & De
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From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Applied Statistics in Agriculture

Applied Statistics in Agriculture
Proceedings of the ... Kansas State University Conference on Applied Statistics in Agriculture

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Modern Applied Statistics with S-PLUS

Modern Applied Statistics with S-PLUS
A Book

by W.N. Venables,B.D. Ripley

  • Publisher : Springer Science & Business Media
  • Release : 2013-04-17
  • Pages : 501
  • ISBN : 1475731213
  • Language : En, Es, Fr & De
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This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS

Applied Statistical Genetics with R

Applied Statistical Genetics with R
For Population-based Association Studies

by Andrea S. Foulkes

  • Publisher : Springer Science & Business Media
  • Release : 2009-04-28
  • Pages : 252
  • ISBN : 038789554X
  • Language : En, Es, Fr & De
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Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

Quality Control and Applied Statistics

Quality Control and Applied Statistics
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1987
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Pocket Dictionary of Statistics

Pocket Dictionary of Statistics
A Book

by Hardeo Sahai,Anwer Khurshid

  • Publisher : McGraw-Hill/Irwin
  • Release : 2002
  • Pages : 357
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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A single, thorough source of definitions for thousands of statistical terms, illustrated with graphs, charts, tables, and equations. The Pocket Dictionary includes terms used in various fields related to statistics including mathematics, probability, economics, business, decision analysis, demography, epidemiology, bio-statistics, engineering, public health, quality control and many others.

Book Review Index

Book Review Index
A Master Cumulation 1965-1984

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1985
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Every 3d issue is a quarterly cumulation.

Statistical Methods for Environmental Epidemiology with R

Statistical Methods for Environmental Epidemiology with R
A Case Study in Air Pollution and Health

by Roger D. Peng,Francesca Dominici

  • Publisher : Springer Science & Business Media
  • Release : 2008-12-15
  • Pages : 144
  • ISBN : 9780387781679
  • Language : En, Es, Fr & De
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As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.

The Europa World of Learning 2008

The Europa World of Learning 2008
A Book

by Taylor & Francis Group

  • Publisher : Unknown Publisher
  • Release : 2007
  • Pages : 2914
  • ISBN : 9781857434583
  • Language : En, Es, Fr & De
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The 2006 edition of 'The World of Learning' has been thoroughly revised and updated to provide an accurate and comprehensive guide to the academic world throughout all continents.