<p><span>Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. </span><span>Mixture Models: Parametric, Semiparametric, and New Directions</span><span> provides an up-to-date introduction to these models, their re
Multivariate Models and Multivariate Dependence Concepts (Chapman & Hall CRC Monographs on Statistics & Applied Probability)
β Scribed by Harry Joe
- Publisher
- Chapman and Hall/CRC
- Year
- 1997
- Tongue
- English
- Leaves
- 418
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems.
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