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 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

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

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

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

Biometry for Forestry and Environmental Data

Biometry for Forestry and Environmental Data
  • Author : Lauri Mehtatalo
  • Publisher : CRC Press
  • Release : 27 May 2020
GET THIS BOOKBiometry for Forestry and Environmental Data

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 through examples with forestry and environmental data in R. · Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree

Learn R for Applied Statistics

Learn R for Applied Statistics
  • Author : Eric Goh Ming Hui
  • Publisher : Apress
  • Release : 30 November 2018
GET THIS BOOKLearn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics

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.

Advanced Statistics with Applications in R

Advanced Statistics with Applications in R
  • Author : Eugene Demidenko
  • Publisher : John Wiley & Sons
  • Release : 12 November 2019
GET THIS BOOKAdvanced Statistics with Applications in R

Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications

Applied Statistics

Applied Statistics
  • Author : Dieter Rasch,Rob Verdooren,Jürgen Pilz
  • Publisher : John Wiley & Sons
  • Release : 14 August 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

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

Modern Applied Statistics with S-PLUS

Modern Applied Statistics with S-PLUS
  • Author : William N. Venables,Brian D. Ripley
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOKModern Applied Statistics with S-PLUS

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
  • Author : Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt
  • Publisher : Academic Press
  • Release : 04 April 2015
GET THIS BOOKBayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces