In this chapter some alternative developments for analyzing repeated measures and longitudinal data are introduced. The generalized linear models are extended using the marginal-conditional approaches, link functions are shown, dispersion parameters and variance functions are found, and deviances are highlighted. A further extension of multivariate generalized linear models is introduced in this chapter using marginal-conditional approach for discrete and continuous distributions.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Extension of GLM for Multivariate Data: Alternative Models

  • M. Ataharul Islam,
  • Soma Chowdhury Biswas

摘要

In this chapter some alternative developments for analyzing repeated measures and longitudinal data are introduced. The generalized linear models are extended using the marginal-conditional approaches, link functions are shown, dispersion parameters and variance functions are found, and deviances are highlighted. A further extension of multivariate generalized linear models is introduced in this chapter using marginal-conditional approach for discrete and continuous distributions.