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# Applied Statistics for Environmental Science with R

• Author : Abbas F. M. Al-Karkhi
• Publsiher : Elsevier
• Release : 13 September 2019
• ISBN : 0128186232
• Pages : 240 pages
• Rating : 4/5 from 21 ratings

Summary:
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

• Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
• Publisher : Elsevier
• Release : 13 September 2019

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

• Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
• Publisher : John Wiley & Sons
• Release : 31 August 2011

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

• Author : Song S. Qian
• Publisher : CRC Press
• Release : 03 November 2016

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

## Applied Statistics in Agricultural, Biological, and Environmental Sciences

• Author : Barry Glaz,Kathleen M. Yeater
• Publisher : John Wiley & Sons
• Release : 22 January 2020

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

• Author : Lauri Mehtatalo,Juha Lappi
• Publisher : CRC Press
• Release : 27 May 2020

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

## Statistical Data Analysis Explained

• Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
• Publisher : Wiley
• Release : 09 June 2008

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

## Insights from Data with R

• Author : Owen L. Petchey,Andrew P. Beckerman,Natalie Cooper,Dylan Z. Childs
• Publisher : Oxford University Press
• Release : 24 February 2021

Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience,

## Statistics for Geography and Environmental Science

• Author : Richard Harris,Claire Jarvis
• Publisher : Routledge
• Release : 01 May 2014

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 is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of

## Statistical Methods in Water Resources

• Author : D.R. Helsel,R.M. Hirsch
• Publisher : Elsevier
• Release : 03 March 1993

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

## Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

• Author : Richard Chandler,Marian Scott
• Publisher : John Wiley & Sons
• Release : 25 March 2011

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the

## Environmental Data Analysis with MatLab

• Author : William Menke,Joshua Ephraim Menke
• Publisher : Elsevier
• Release : 09 December 2021

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

## Statistics in Environmental Sciences

• Author : Valerie David
• Publisher : John Wiley & Sons
• Release : 04 September 2019

Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results. Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping

## Statistical Methods for Environmental Epidemiology with R

• Author : Roger D. Peng,Francesca Dominici
• Publisher : Springer Science & Business Media
• Release : 15 December 2008

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

## Practical Statistics for Environmental and Biological Scientists

• Author : John Townend
• Publisher : John Wiley & Sons
• Release : 30 April 2013

All students and researchers in environmental and biologicalsciences require statistical methods at some stage of their work.Many have a preconception that statistics are difficult andunpleasant and find that the textbooks available are difficult tounderstand. Practical Statistics for Environmental and BiologicalScientists provides a concise, user-friendly, non-technicalintroduction to statistics. The book covers planning and designingan experiment, how to analyse and present data, and the limitationsand assumptions of each statistical method. The text does not referto a specific computer package but descriptions