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Distributions, Parameters and Estimators in R

In: Environmental Data Analysis

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  • Carsten Dormann

    (University of Freiburg, Biometry and Environmental System Analysis)

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.

Suggested Citation

  • Carsten Dormann, 2020. "Distributions, Parameters and Estimators in R," Springer Books, in: Environmental Data Analysis, chapter 0, pages 51-64, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-55020-2_4
    DOI: 10.1007/978-3-030-55020-2_4
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