Distributions, Parameters and Estimators

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

Chapter Chapter 3 in Environmental Data Analysis, 2020, pp 29-50 from Springer

Abstract: Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … you will know what a distribution is and what properties it has. $$\ldots $$ … you will understand the concept of likelihood. $$\ldots $$ … you will understand how to use “maximum likelihood” to achieve the best possible fit of a distribution for empirical data. $$\ldots $$ … you will know a few important distributions, such as the normal distribution, the Poisson, the Bernoulli, and the binomial distribution. $$\ldots $$ … you will know where to look when you want to read more about distributions and their parameters.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-55020-2_3

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DOI: 10.1007/978-3-030-55020-2_3

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