Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability Volume: 73
424 pages, illustrations, tables
Multivariate Models and Dependence Concepts 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.
"Both mathematical and applied researchers in multivariate dependence concepts would benefit from reading this rigorous book, which is designed as graduate level textbook [...] Some notable features of the book include the construction of non-normal multivariate distributions, copulas Fréchet classes, unsolved problems, and exhaustive reference list, and a three-page description of notation and abbreviations [...] The book is a good collection of ideas and formulas [...] certainly valuable for researchers in dependency concepts since it deals with several unsolved problems."
- Ramalingam Shanmugam in Journal of Mathematical Psychology, Vol. 46 (2002)
- Aspects of Interpretation
- Technical Considerations
- Statistical Analysis
- Special Methods for Joint Responses
- Some Examples
- Strategical Aspects
- More Specialized Topics
There are currently no reviews for this product. Be the first to review this product!