Count data are widely existed in the fields of medical trials, public health, surveys and environmental studies. In analyzing count data, it is important to find out whether the zero-inflation exists or not and how to select the most suitable model. However, the classic AIC criterion for model...

Nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models are proposed to identify the relationship between manifest variables and latent variables in modern educational, medical, social and psychological studies. The nonignorable missing...

Non-linear structural equation models are widely used to analyze the relationships among outcomes and latent variables in modern educational, medical, social and psychological studies. However, the existing theories and methods for analyzing non-linear structural equation models focus on the...