Continuous Bivariate Distributions Second Edition /

Random variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and...

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Bibliographic Details
Main Authors: Lai, Chin Diew (Author), Balakrishnan, N. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2009.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Univariate Distributions
  • Bivariate Copulas
  • Distributions Expressed as Copulas
  • Concepts of Stochastic Dependence
  • Measures of Dependence
  • Construction of Bivariate Distributions
  • Bivariate Distributions Constructed by the Conditional Approach
  • Variables-in-Common Method
  • Bivariate Gamma and Related Distributions
  • Simple Forms of the Bivariate Density Function
  • Bivariate Exponential and Related Distributions
  • Bivariate Normal Distribution
  • Bivariate Extreme-Value Distributions
  • Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions
  • Simulation of Bivariate Observations.