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Continuous Bivariate Distributions

Author

Listed:
  • Chin Diew Lai

    (Massey University, Institute of Sciences and Technology)

  • N. Balakrishnan

    (McMaster University, Dept. Mathematics & Statistics)

Abstract

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Suggested Citation

  • Chin Diew Lai & N. Balakrishnan, 2009. "Continuous Bivariate Distributions," Springer Books, Springer, number 978-0-387-09614-8, January.
    • Handle: RePEc:spr:sprbok:978-0-387-09614-8
    DOI: 10.1007/b101765
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    Citations

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    Cited by:

    1. Ahmed Elhassanein, 2022. "On Statistical Properties of a New Bivariate Modified Lindley Distribution with an Application to Financial Data," Complexity, John Wiley & Sons, vol. 2022(1).
    2. Sudheesh K. Kattumannil & Deepesh Bhati & Isha Dewan, 2026. "Tests for independence against regression and expectation dependence," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 78(2), pages 327-349, April.
    3. Acerenza, Santiago & Wich, Hannah & Bartalotti, Otavio & Kreider, Brent, 2025. "The Effect of SNAP Participation on Mental Health: Using Marginal Effects to Bound Average Effects," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360893, Agricultural and Applied Economics Association.
    4. Ehab M. Almetwally & Aisha Fayomi & Maha E. Qura, 2025. "Bivariate Power Lindley Models Based on Copula Functions Under Type‐II Censored Samples With Applications in Industrial and Medical Data," Journal of Mathematics, John Wiley & Sons, vol. 2025(1).
    5. Khreshna Syuhada & Risti Nur’aini & Mahfudhotin, 2020. "Quantile‐Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach," Journal of Applied Mathematics, John Wiley & Sons, vol. 2020(1).

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