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Simple Forms of the Bivariate Density Function

In: Continuous Bivariate Distributions

Author

Listed:
  • N. Balakrishna

    (McMaster University, Department of Mathematics & Statistics)

  • Chin Diew Lai

    (Institute of Sciences and Technology, Massey University)

Abstract

When one considers a bivariate distribution, it is perhaps common to think of a joint density function rather than a joint distribution function, and it is also conceivable that such a density may be simple in expression, while the corresponding distribution function may involve special functions, can be expressed only as an infinite series, and sometimes may even be more complicated. Such distributions form the subject matter of this chapter. Although the standard form of these densities is simple, their generalizations are often not so simple. To include these generalizations would undoubtedly place the title of this chapter under question, but the alternative of leaving them out would be remiss. Therefore, for the sake of completeness, generalized forms of these simple densities will also be included in this discussion.

Suggested Citation

  • N. Balakrishna & Chin Diew Lai, 2009. "Simple Forms of the Bivariate Density Function," Springer Books, in: Continuous Bivariate Distributions, chapter 0, pages 351-400, Springer.
  • Handle: RePEc:spr:sprchp:978-0-387-09614-8_10
    DOI: 10.1007/b101765_10
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