Description
Book SynopsisThis book concentrates on a variety of multivariate distributional models (other than the normal and related sampling distributions). It covers a wide range of models from multivariate (MV) exponential, MV extremevalue and MV gamma, to MV beta (or dirichlet) and MV pareto, to name but a few.
Trade ReviewThis book brings one right up to date and is a worthy addition to the existing set of second editions of the other volumes of Distributions in Statistics. It will remain the key reference for many years. (Short Book Reviews, Vol. 20, No. 3, December 2000)
[...] Continuous Multivariate Distributions is a unique and valuable source of information on multivariate distributions. This book, and the rest of this venerable and important series, should be on the shelves of every statistician. (JASA June 2001)
For certain it will serve as the primary source for continuous multivariate statistical distributions for a long time. (Zentralblatt Math, Volume 946, No 21, 2000)
"...provides a remarkably comprehensive, self-contained resource for this important statistical area." (Mathematical Reviews, Issue 2001h)
"It will remain the key reference for many years." (Short Book Reviews, December 2000)
"...will serve as the primary source for continuous multivariate statistical distributions for a long time." (Zentralblatt MATH, Vol. 946, No. 21)
"Like its predecessors, this monograph is a most welcome addition to the statistical literature. We are looking forward to Volume 2..." (Statistical Papers, Vol. 42, No. 3, 2001)
Table of ContentsSystems 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.
Indexes.
