Distributions, Parameters and Estimators in R

Carsten Dormann ()
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Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis

Chapter Chapter 4 in Environmental Data Analysis, 2020, pp 51-64 from Springer

Abstract: Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … you will have been introduced to around 20 continuous and discrete distribution functions and will be able to graphically display each of these in R. $$\ldots $$ … you will know what the acronym ECDF stands for and can even plot it in R. $$\ldots $$ … you will be able to use the Kolmogorov-Smirnov test to formally compare samples and multiple continuous distributions. $$\ldots $$ … you will be able to calculate the log-likelihood and the AIC of a dataset for any distribution. $$\ldots $$ … you will be able to apply different tests for normal distributions, but you won’t want to.

Date: 2020
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DOI: 10.1007/978-3-030-55020-2_4

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