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A Practical Way for Computing Approximate Lower and Upper Correlation Bounds

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  • Demirtas, Hakan
  • Hedeker, Donald

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  • Demirtas, Hakan & Hedeker, Donald, 2011. "A Practical Way for Computing Approximate Lower and Upper Correlation Bounds," The American Statistician, American Statistical Association, vol. 65(2), pages 104-109.
    • Handle: RePEc:bes:amstat:v:65:i:2:y:2011:p:104-109
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/tast.2011.10090
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    Citations

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    Cited by:

    1. Alexander D. Knudson & Tomasz J. Kozubowski & Anna K. Panorska & A. Grant Schissler, 2021. "A flexible multivariate model for high-dimensional correlated count data," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-21, December.
    2. Hakan Demirtas, 2016. "A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 143-148, May.
    3. Mohan D. Pant & Todd C. Headrick, 2017. "Simulating Uniform- and Triangular- Based Double Power Method Distributions," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(1), pages 1-1.
    4. Amatya, Anup & Demirtas, Hakan, 2015. "OrdNor: An R Package for Concurrent Generation of Correlated Ordinal and Normal Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(c02).
    5. Kim, Byung-Cheol, 2022. "Multi-factor dependence modelling with specified marginals and structured association in large-scale project risk assessment," European Journal of Operational Research, Elsevier, vol. 296(2), pages 679-695.
    6. Xiang, Jim X., 2019. "Estimation of minimum and maximum correlation coefficients," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 81-88.
    7. Sergei Leonov & Bahjat Qaqish, 2020. "Correlated endpoints: simulation, modeling, and extreme correlations," Statistical Papers, Springer, vol. 61(2), pages 741-766, April.
    8. Hakan Demirtas & Robab Ahmadian & Sema Atis & Fatma Ezgi Can & Ilker Ercan, 2016. "A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization," Computational Statistics, Springer, vol. 31(4), pages 1385-1401, December.

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