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Univariate Statistical Analysis

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Basic Elements of Computational Statistics

Part of the book series: Statistics and Computing ((SCO))

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Abstract

This chapter presents basic statistical methods used in describing and analysing univariate data in R. It covers the topics of descriptive and inferential statistics of univariate data, which are mostly treated in introductory courses in Statistics.

It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

— Sir Arthur Conan Doyle

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Authors and Affiliations

  1. CASE – Center for Applied Statistics and Economics, School of Business and Economics, Humboldt-Universität zu Berlin, Berlin, Germany

    Wolfgang Karl Härdle

  2. Econometrics and Statistics, esp. in Transportation, Institut für Wirtschaft und Verkehr, Fakultät Verkehrswissenschaften “Friedrich List”, Technische Universität Dresden, Dresden, Sachsen, Germany

    Ostap Okhrin

  3. Chair of Statistics, Faculty of Business and Economics, University of Augsburg, Augsburg, Germany

    Yarema Okhrin

Authors
  1. Wolfgang Karl Härdle
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  2. Ostap Okhrin
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  3. Yarema Okhrin
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Corresponding author

Correspondence to Wolfgang Karl Härdle .

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Härdle, W.K., Okhrin, O., Okhrin, Y. (2017). Univariate Statistical Analysis. In: Basic Elements of Computational Statistics. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-55336-8_5

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