Applied Statistics for Environmental Science with R
  • Author : Abbas F. M. Al-Karkhi
  • Release Date : 13 September 2019
  • Publisher : Elsevier
  • Genre : Computers
  • Pages : 240
  • ISBN 13 : 9780128186237

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Book excerpt: 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

Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R

Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
Publisher : Elsevier
Genre : Computers
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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 ...

Statistical Data Analysis Explained

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Publisher : John Wiley & Sons
Genre : Science
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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 ...

Applied Statistics in Agricultural  Biological  and Environmental Sciences

Applied Statistics in Agricultural Biological and Environmental Sciences

Author : Barry Glaz,Kathleen M. Yeater
Publisher : John Wiley & Sons
Genre : Technology & Engineering
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Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen ...

Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R

Author : Song S. Qian
Publisher : CRC Press
Genre : Mathematics
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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, ...

Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R

Author : Song S. Qian
Publisher : CRC Press
Genre : Uncategorized
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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, ...

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Statistics and Data with R

Author : Yosef Cohen,Jeremiah Y. Cohen
Publisher : John Wiley & Sons
Genre : Mathematics
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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 ...

Statistics for Geography and Environmental Science

Statistics for Geography and Environmental Science

Author : Richard Harris,Claire Jarvis
Publisher : Routledge
Genre : Science
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Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science. This textbook ...

Applied Statistics with R

Applied Statistics with R

Author : Justin C. Touchon
Publisher : Unknown
Genre : Biometry
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This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data....

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Author : Mehmet Mehmetoglu,Matthias Mittner
Publisher : SAGE
Genre : Social Science
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If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress ...

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Author : D.R. Helsel,R.M. Hirsch
Publisher : Elsevier
Genre : Mathematics
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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 ...

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Publisher : Oxford University Press, USA
Genre : Mathematics
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This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with raw data and unlock essential information (insights) from data summaries and visualisations....

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Publisher : CRC Press
Genre : Mathematics
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Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: · Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts ...

EnvStats

EnvStats

Author : Steven P. Millard
Publisher : Springer Science & Business Media
Genre : Computers
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This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found ...

Applications of Hypothesis Testing for Environmental Science

Applications of Hypothesis Testing for Environmental Science

Author : Abbas F.M. Alkarkhi
Publisher : Elsevier
Genre : Science
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Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental science, allowing researchers to carry out suitable tests for decision-making on a variety of issues. This book works as a step-by-step resource to provide understanding of the concepts and applications of hypothesis testing ...

Handbook of Environmental and Ecological Statistics

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Author : Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
Publisher : CRC Press
Genre : Mathematics
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This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its ...