Continuous multivariate distributions
Volume 1: Models and Applications
by Samuel Kotz, N. Balakrishnan, and Norman L. Johnson
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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.
source: https://onlinelibrary.wiley.com/doi/book/10.1002/0471722065
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Continuous multivariate distributions: Volume 1: Models and Applications
2000, Wiley-Interscience
Hardcover
in English
- 2nd ed.
0471183873 9780471183877
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New York, USA
Edition Notes
Includes bibliographical references and indexes.
Rev. ed. of: Continuous multivariate distributions / Norman L. Johnson, Samuel Kotz. 1972.
"A Wiley-Interscience publication."
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- Created April 1, 2008
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| August 5, 2023 | Edited by AgentSapphire | Edited without comment. |
| December 1, 2020 | Edited by MARC Bot | import existing book |
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