We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models, designed to handle multivariate response variables, along with a wide ...

Revised edition of: Multivariate data analysis with readings. 4th ed. c1995. SERCMAI copy 39088009202680 has bookplate: Smithsonian Libraries Adopt-a-Book program. Adopted by David and Erin Hardy on ...

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

This is a preview. Log in through your library . Abstract We propose a copula-based generalized linear mixed model (GLMM) to jointly analyze multivariate longitudinal data with mixed types, including ...

Emphasis is placed on advanced data analysis appropriate for large and complex datasets with many variables, using real-world business data, developing an in-depth understanding of the methods to ...