Bayesian nonparametric models for ranked set sampling
نویسندگان
چکیده
منابع مشابه
Bayesian nonparametric models for ranked set sampling.
Ranked set sampling (RSS) is a data collection technique that combines measurement with judgment ranking for statistical inference. This paper lays out a formal and natural Bayesian framework for RSS that is analogous to its frequentist justification, and that does not require the assumption of perfect ranking or use of any imperfect ranking models. Prior beliefs about the judgment order statis...
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The marginal probability (14) is obtained by taking the expectation of (13) with respect to G. Note however that (13) is a density, so to be totally precise here we need to work with the probability of infinitesimal neighborhoods around the observations instead, which introduces significant notational complexity. To keep the notation simple, we will work with densities, leaving it to the carefu...
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ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2014
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-014-9312-x