Table of Contents

Univariate distributions. - Bivariate copulas. - Distributions expressed as copulas. - Concepts of stochastic dependence. - Measures of dependence. - Constructions of bivariate distributions.- Bivariate distributions constructed by conditional approach. - Variables in common method. - Bivariate gamma and related distributions. - Simple forms of the bivariate density function. - Bivariate exponentional and related distributions. - Bivariate normal distribution. - Bivariate extreme value distributions. - Elliptically symmetric bivariate distributions and other symmetric distributions. - Simulation of bivariate observations.

Reviews

From the reviews of the second edition: "The authors present the forms, properties, dependence structures, computation, and applications of numerous continuous bivariate distributions. ... One of the nice features of this edition is that it presents bivariate distributions that are generated by a variety of copulas. ... The new edition is comprised of 14 chapters including references at the end of each chapter ... and subject index at the end. ... I can safely recommend this book as a handy resource manual for researchers as well as practitioners working in this area." (Technometrics, Vol. 51 (4), November, 2009)