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Bivariate Continuous Distribution

  • J. G. Kalbfleisch
Chapter
Part of the Springer Texts in Statistics book series (STS)

Abstract

Bivariate continuous distributions are defined in Section 1, and change of variables problems are considered in Section 2. In Section 3, we prove some results which will be needed in deriving statistical methods for analyzing normally distributed measurements. Sections 4 and 5 deal with properties and applications of the bivariate normal distribution. The discussion and examples are mostly confined to the two-variable case, but the extension to multivariate distributions is straightforward.

Keywords

Conditional Distribution Orthogonal Matrix Multivariate Normal Distribution Joint Probability Density Function Bivariate Normal Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1985

Authors and Affiliations

  • J. G. Kalbfleisch
    • 1
  1. 1.Department of Statistics and Actuarial ScienceUniversity of WaterlooWaterlooCanada

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