Environmental Data Analysis: An Introduction with Examples in R

By Carsten Dormann

Book Overview

Preface.- The technical side: selecting a statistical software.- 1 Sample statistics.- 2 Sample statistics in R.- 3 Distributions, parameters and estimators.- 4 Distributions, parameters and estimators in R.- 5 Correlation and association.- 6 Correlation and association in R.- 7 Regression - Part I.- 8 Regression in R - Part I.- 9 Regression - Part II.- 10 Regression in R - Part II.- 11 The linear model: t-test and ANOVA.- 12 The linear model: t-test and ANOVA in R.- 13 Hypotheses and tests.- 14 Experimental Design.- 15 Multiple Regression.- 16 Multiple Regression in R.- 17 Outlook.- Index.

• Format: Paperback
• Language: English
• ISBN: 3030550222
• ISBN13: 9783030550226
• Release Date: December 2021
• Publisher: Springer
• Length: 264 Pages
• Weight: 1.43 lbs.
• Dimensions: 0.6" x 8.3" x 11.0"