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Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental;

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Statistical Analysis for Environmental Data with R

For environmental data classical statistical analysis are often not useful which makes it necessary to find new methods to solve the;

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Statistical Data Analysis Explained

. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Environmental and Ecological Statistics with R

Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding;

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Environmental and Ecological Statistics with R

Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers;

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Introduction to R for Terrestrial Ecology

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Environmental Statistics and Data Analysis

monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with;

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Statistics for Earth and Environmental Scientists

additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an;

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Analysis Biomarker Data Practical Guide

A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R;

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Biometry 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;

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Statistics in Toxicology Using R

dilemmas, Statistics in Toxicology Using R explains the statistical analysis of selected experimental data in toxicology and presents assay;

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Statistics in Toxicology Using R

dilemmas, Statistics in Toxicology Using R explains the statistical analysis of selected experimental data in toxicology and presents assay;

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Environmental Data Analysis

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and;

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Environmental Data Analysis

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Statistics And Data With R

and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge;

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RStudio for R Statistical Computing Cookbook

* R Statistical implementation for Geospatial data * Developing shiny add-ins to expand RStudio functionalities * Using GitHub with RStudio;

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First Guide to Statistical Computations in R

, at least among statisticians, and it is freely available. This book is intended for the newcomer who wants to do statistical analysis with R;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Statistics for Environmental Biology and Toxicology

Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis;

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Statistical Methods for Fuzzy Data

of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the;

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The New Statistics with R

). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate;

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The New Statistics with R

). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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