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Systems of One-Dimensional Continuous Distributions and their Application in Simulation Studies

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Robustness of Statistical Methods and Nonparametric Statistics

Part of the book series: Theory and Decision Library ((TDLB,volume 1))

Abstract

One-dimensional continuous distribution systems (Pearson, Johnson, Tadikamalla-Johnson, Burr, Grassia, Gram-Charlier-Edgeworth, generalized Lambda distributions, Schmeiser-Deutsch, Fleishman, truncated normal distribution, double rectangular distribution) are described and their suitability for use in simulation studies for investigating robustness is considered.

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Author information

Authors and Affiliations

  1. Academy of Agricultural Sciences of the GDR, Research Centre of Animal Production Dummerstorf-Rostock, Germany

    Volker Guiard

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  1. Volker Guiard
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Editors and Affiliations

  1. Mathematical Department of Wilhelm Pieck University, Rostock, Germany

    Dieter Rasch

  2. Research Centre of Animal Production Dummerstorf-Rostock of the Academy of Agricultural Sciences of the GDR, Rostock, Germany

    Dieter Rasch

  3. Department of Statistics, McMaster University, Hamilton, Ontario, Canada

    Moti Lal Tiku

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© 1984 Academy of Agricultural Sciences of the GDR, Research Centre of Animal Production, Dummerstorf-Rostock, DDR 2551 Dummerstorf.

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Guiard, V. (1984). Systems of One-Dimensional Continuous Distributions and their Application in Simulation Studies. In: Rasch, D., Tiku, M.L. (eds) Robustness of Statistical Methods and Nonparametric Statistics. Theory and Decision Library, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6528-7_11

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  • DOI: https://doi.org/10.1007/978-94-009-6528-7_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-6530-0

  • Online ISBN: 978-94-009-6528-7

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