Continuous Multivariate Distributions, Volume 1

Discover the intricate world of statistical modeling with Continuous Multivariate Distributions, Volume 1 by Samuel Kotz. Published by John Wiley & Sons Inc in 2000, this comprehensive 752-page hardcover edition delves into a diverse array of multivariate distributional models beyond the traditional normal and related sampling distributions.

Explore an extensive range of models including multivariate exponential, extreme value, gamma, beta (or Dirichlet), and Pareto distributions. This book is an essential resource for statisticians, researchers, and advanced students interested in multivariate analysis and probability theory. Enhance your understanding of complex statistical concepts and elevate your analytical skills with this authoritative guide. Perfect for anyone looking to deepen their knowledge in the field of multivariate distributions, this volume is a must-have addition to your professional library.