Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition
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.
N. BALAKRISHNAN, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario, Canada. In addition to publishing many research papers, he has authored or coauthored numerous books, including A First Course in Order Statistics and Records, both of which are Wiley publications. Dr. Balakrishnan serves on the editorial board of many journals, including Journal of Statistical Planning and Inference, Computational Statistics & Data Analysis, Metrika, Methodology and Computing in Applied Probability, IIE Transactions on Quality and Reliability Engineering, and American Journal of Mathematical and Management Sciences. He is also the Editor-in-Chief f for the series Statistics for Industry and Technology and the series Statistical Distributions and Models with Applications.
NORMAN L. JOHNSON, PhD, DSc, is Professor Emeritus in the Department of Statistics at the University of North Carolina at Chapel Hill. Dr. Johnson received his PhD and DSc degrees in statistics from the University of London, and has taught at University College, London, the Case Institute of Technology, and the University of New South Wales. Dr. Johnson is coauthor of the previous four volumes of this book (with Kotz and Kemp; and Kotz and Balakrishnan) and was Editor-in-Chief (with Kotz) of the ten-volume Encyclopedia of Statistical Sciences. He is currently Associate Editor of Metron and a member of the editorial board of Sequential Analysis.
[...] 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)
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