- Organisation & People
- Research & Publications
- PhD Programme
- PhD Roadmap, TSP & Diploma
- PhD Graduations
- News & Events
Suppose you want to study hippos and the effect of habitat variables on their distribution. When sampling, you may count zero hippos at many sites and therefore zero inflated models should be used. During the course several case studies are presented, in which the statistical theory for zero inflated models is integrated with applied analyses in a clear and understandable manner. Zero inflated models consist of two integrated GLMs and therefore we will start with a revision of GLM. Zero inflated GLMMs for nested data (repeated measurements, short time series, clustered data, etc.) are discussed in the second part of the course. We will focus on zero inflated count data, and zero inflated continuous data.
This course is taught by Dr Alain Zuur and Dr Elena Ieno, who are the leading authorities in the world on the topic of zero-inflated models in R.
|Course Frequency||Once every 2 or 3 years|
|Level||The course is aimed at PhD candidates, postdocs, and other academics|
|Intended credits||1.5 ECTS|
|Course organisation||The C.T. de Wit Graduate School for Production Ecology and Resource Conservation (PE&RC)|
|More information||Course website|