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Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods. Until now, however, most of the material on random matrices could only be found scattered in various statistical journals. Matrix Variate Distributions gathers and systematically presents most of the recent developments in continuous matrix variate distribution theory and includes new results.
After a review of the essential background material, the authors investigate the range of matrix variate distributions, including:matrix variate normal distribution
Wishart distribution
Matrix variate t-distribution
Matrix variate beta distribution
F-distribution
Matrix variate Dirichlet distribution
Matrix quadratic forms
With its inclusion of new results, Matrix Variate Distributions promises to stimulate further research and help advance the field of multivariate statistical analysis.
After a review of the essential background material, the authors investigate the range of matrix variate distributions, including:
With its inclusion of new results, Matrix Variate Distributions promises to stimulate further research and help advance the field of multivariate statistical analysis.
Graderings en resensies
4,3
3 resensies
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A K Gupta, D K Nagar
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