Multivariate Statistical Modelling Based on Generalized Linear Models
A scholarly work on multivariate statistics using generalized linear models. Provides formal methods and theoretical foundations for stochastic modeling. Customer insight: none
Highlights
- GLM-based multivariate modelling
- statistical rigor and theory
- generalized linear models framework
Pros
- academic focus on GLMs
- rigorous statistical methods
- covers multivariate modelling
Cons
- no customer-specified features data
- requires advanced statistical background
