Applied Statistics for Environmental Science with R

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

Produk Detail:

  • Author : Abbas F. M. Al-Karkhi
  • Publisher : Elsevier
  • Pages : 240 pages
  • ISBN : 0128186232
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKApplied Statistics for Environmental Science with R

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
  • Release : 13 September 2019
GET THIS BOOKApplied Statistics for Environmental Science with R

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

Statistical Data Analysis Explained

Statistical Data Analysis Explained
  • Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
  • Publisher : John Wiley & Sons
  • Release : 31 August 2011
GET THIS BOOKStatistical 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

Applied Statistics with R

Applied Statistics with R
  • Author : Justin C. Touchon
  • Publisher : Oxford University Press
  • Release : 01 July 2021
GET THIS BOOKApplied Statistics with R

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.

Statistical Data Analysis Explained

Statistical Data Analysis Explained
  • Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
  • Publisher : Wiley
  • Release : 09 June 2008
GET THIS BOOKStatistical 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

Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R
  • Author : Song S. Qian
  • Publisher : CRC Press
  • Release : 03 November 2016
GET THIS BOOKEnvironmental and Ecological Statistics with R

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, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several

Statistics and Data with R

Statistics and Data with R
  • Author : Yosef Cohen,Jeremiah Y. Cohen
  • Publisher : John Wiley & Sons
  • Release : 20 November 2008
GET THIS BOOKStatistics and Data with R

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

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
  • Release : 22 January 2020
GET THIS BOOKApplied Statistics in Agricultural, Biological, and Environmental Sciences

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 M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors

Foundational and Applied Statistics for Biologists Using R

Foundational and Applied Statistics for Biologists Using R
  • Author : Ken A. Aho
  • Publisher : CRC Press
  • Release : 09 March 2016
GET THIS BOOKFoundational and Applied Statistics for Biologists Using R

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

Statistical Methods in Water Resources

Statistical Methods in Water Resources
  • Author : D.R. Helsel,R.M. Hirsch
  • Publisher : Elsevier
  • Release : 03 March 1993
GET THIS BOOKStatistical Methods in Water Resources

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

Applied Statistics Using Stata

Applied Statistics Using Stata
  • Author : Mehmet Mehmetoglu,Tor Georg Jakobsen
  • Publisher : SAGE
  • Release : 08 November 2016
GET THIS BOOKApplied Statistics Using Stata

Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a

Applied Statistical Genetics with R

Applied Statistical Genetics with R
  • Author : Andrea S. Foulkes
  • Publisher : Springer Science & Business Media
  • Release : 28 April 2009
GET THIS BOOKApplied Statistical Genetics with R

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.

Environmental Statistics with S-PLUS

Environmental Statistics with S-PLUS
  • Author : Steven P. Millard,Nagaraj K. Neerchal
  • Publisher : CRC Press
  • Release : 21 September 2000
GET THIS BOOKEnvironmental Statistics with S-PLUS

A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you collect environmental data, how to collect the data, and how to make sense of it after collection. A unique and powerful feature of the book

Applied Statistics

Applied Statistics
  • Author : Dieter Rasch,Rob Verdooren,Jürgen Pilz
  • Publisher : John Wiley & Sons
  • Release : 30 July 2019
GET THIS BOOKApplied Statistics

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods

R for Data Science

R for Data Science
  • Author : Hadley Wickham,Garrett Grolemund
  • Publisher : "O'Reilly Media, Inc."
  • Release : 12 December 2016
GET THIS BOOKR for Data Science

"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--

Environmental Data Analysis with MatLab

Environmental Data Analysis with MatLab
  • Author : William Menke,Joshua Ephraim Menke
  • Publisher : Elsevier
  • Release : 28 October 2021
GET THIS BOOKEnvironmental Data Analysis with MatLab

Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing