Multivariate Models and Dependence Concepts

Joe (statistics, U. of British Columbia) addresses multivariate models, statistical inference, and data analysis for multivariate non- normal response data (such as binary, ordinal, count, extreme value) with covariates, using dependence concepts to construct and analyze multivariate distributions and models. Special features of the volume's eleven chapters include methods for constructions of multivariate non-normal distributions and copulas; the topics of FrTchet classes and dependence concepts; and an introduction to new statistical inference theory for multivariate models, as well as data analysis examples, exercises, and supplementary results in the appendix. Annotation c. by Book News, Inc., Portland, Or.