Modeling variance
نویسنده
چکیده
This chapter addresses models that incorporate more than one kind of variability, variously called mixed, multilevel, multistratum, or hierarchical models. It starts by considering data with (1) changing amounts of variability or (2) correlation among data points. These kinds of data can be modeled adequately with the tools introduced in previous chapters. The last part of the chapter considers data with two or more qualitatively different sources of variability. These kinds of data are much more challenging to model, but they can be fitted with analytical or numerical integration techniques or via MCMC. This chapter is more conceptual and less technical than previous chapters.
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تاریخ انتشار 2007