On an inferential model construction using generalized associations
نویسندگان
چکیده
منابع مشابه
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چکیده ندارد.
Generalized inferential models
This paper generalizes the authors’ inferential model (IM) framework for priorfree, posterior probabilistic inference about unknown parameters. This generalization is accomplished by focusing on an association model determined by the sampling distribution of a function of the data and parameter. The advantage is that the new association model is generally easier to work with than that determine...
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ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2018
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2016.11.006