Environmental Data Analysis

Environmental Data Analysis

An Introduction with Examples in R

Dormann, Carsten

Springer Nature Switzerland AG

12/2021

264

Mole

Inglês

9783030550226

15 a 20 dias

705

Descrição não disponível.
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.
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maximum likelihood;Generalized Linear Models;ANOVA;regression;design of experiments;hypothesis testing;cluster analysis;model selection;multiple regression;data visualisation;environmetrics;principal component analysis