+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)


Continuous Multivariate Distributions, Volume 1. Models and Applications. Edition No. 1. Wiley Series in Probability and Statistics

  • ID: 2174477
  • Book
  • June 2000
  • 752 Pages
  • John Wiley and Sons Ltd
1 of 3
Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
Note: Product cover images may vary from those shown
2 of 3
Systems of Continuous Multivariate Distributions.

Multivariate Normal Distributions.

Bivariate and Trivariate Normal Distributions.

Multivariate Exponential Distributions.

Multivariate Gamma Distributions.

Dirichlet and Inverted Dirichlet Distributions.

Multivariate Liouville Distributions.

Multivariate Logistic Distributions.

Multivariate Pareto Distributions.

Bivariate and Multivariate Extreme Value Distributions.

Natural Exponential Families.

Note: Product cover images may vary from those shown
3 of 3
Samuel Kotz George Washington University, Washington, DC, USA.

N. Balakrishnan McMaster University, Canada.

Norman L. Johnson University of North Carolina at Chapel Hill, NC, USA.
Note: Product cover images may vary from those shown