
Continuous Multivariate Distributions, Volume 1
Models and Applications
- English
- PDF
- Available on iOS & Android
Continuous Multivariate Distributions, Volume 1
Models and Applications
About this book
Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
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Information
Table of contents
- Contents
- Preface
- List of Tables
- List of Figures
- 44 Systems of Continuous Multivariate Distributions
- 45 Multivariate Normal Distributions
- 46 Bivariate and Trivariate Normal Distributions
- 47 Multivariate Exponential Distributions
- 48 Multivariate Gamma Distributions
- 49 Dirichlet and Inverted Dirichlet Distributions
- 50 Multivariate Liouville Distribution
- 51 Multivariate Logistic Distributions
- 52 Multivariate Pareto Distributions
- 53 Bivariate and Multivariate Extreme Value Distributions
- 54 Natural Exponential Families
- Author Index
- Subject Index