Gathers together recent developments in continuous matrix variate distribution theory, provides an analytical review of the material, and offers new results that will stimulate further research. Assumes familiarity with introductory multivariate statistical analysis and matrix algebra, and includes chapter problems and a glossary. For researchers and graduate students in multivariate statistical analysis and the investigation sciences. Gupta teaches mathematics and statistics at Bowling Green State University. Nagar teaches mathematics at the University of Antioquia, Colombia. Annotation c. Book News, Inc., Portland, OR (booknews.com)