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Focusing on bivariate distributions, this book explores the dependence structures of random variables, emphasizing their correlation and properties for clearer understanding. It simplifies the joint density plot representation, making complex concepts more accessible. Additionally, the text discusses how bivariate distributions can be extended to multivariate forms using vector or matrix representations. This edition revises the first 17 chapters of the author's prior work, enhancing clarity and depth in the study of statistical dependencies.
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Continuous Bivariate Distributions, N. Balakrishnan, Chin-Diew Lai
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- 2009
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