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Bivariate Teissier Distributions

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Book cover Analytical and Computational Methods in Probability Theory (ACMPT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10684))

Abstract

We first give historical remarks about the forgotten univariate Teissier model. We introduce symmetric and asymmetric bivarite versions of the Teissier distribution and outline basic properties. The corresponding copula is obtained and applications are discussed.

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References

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Acknowledgments

The first named author is partially supported by FAPESP Grant 2013/07375-0 and the third named author is supported by CNPq grant provided by USP. We are thankful to Daniel de Brito Reis who designed the Figures.

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Authors and Affiliations

  1. Department of Statistics, University of Sao Paulo, São Paulo, Brazil

    Nikolai Kolev, Ngo Ngoc & Yang Ting Ju

Authors
  1. Nikolai Kolev
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  2. Ngo Ngoc
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  3. Yang Ting Ju
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Corresponding author

Correspondence to Nikolai Kolev .

Editor information

Editors and Affiliations

  1. Department of Applied Probability and Informatics, RUDN University, Moscow, Russia

    Vladimir V. Rykov

  2. City University of Hong Kong, Hong Kong, Hong Kong

    Nozer D. Singpurwalla

  3. Steklov Mathematical Institute of Russian Academy of Sciences, Moscow, Russia

    Andrey M. Zubkov

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Kolev, N., Ngoc, N., Ju, Y.T. (2017). Bivariate Teissier Distributions. In: Rykov, V., Singpurwalla, N., Zubkov, A. (eds) Analytical and Computational Methods in Probability Theory. ACMPT 2017. Lecture Notes in Computer Science(), vol 10684. Springer, Cham. https://doi.org/10.1007/978-3-319-71504-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-71504-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71503-2

  • Online ISBN: 978-3-319-71504-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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