
doi: 10.1007/bf02565109
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location-scale model, posterior existence, scale mixtures of normals, Behrens-Fisher problem; Fieller-Creasy problem; Gibbs sampling; Jeffreys' prior; location-scale model; posterior existence; product of means; scale mixtures of normals; skewness, Bayesian inference, skewness, Computational problems in statistics, product of means, location-scale models, Gibbs sampling, Behrens-Fisher problem, Behrens-Fisher problem;Fieller-Creasy problem;Gibbs sampling;Jeffreys' prior;location-scale model;posterior existence;product of means;scale mixtures of normals;skewness, Fieller-Creasy problem, Jeffreys' prior
location-scale model, posterior existence, scale mixtures of normals, Behrens-Fisher problem; Fieller-Creasy problem; Gibbs sampling; Jeffreys' prior; location-scale model; posterior existence; product of means; scale mixtures of normals; skewness, Bayesian inference, skewness, Computational problems in statistics, product of means, location-scale models, Gibbs sampling, Behrens-Fisher problem, Behrens-Fisher problem;Fieller-Creasy problem;Gibbs sampling;Jeffreys' prior;location-scale model;posterior existence;product of means;scale mixtures of normals;skewness, Fieller-Creasy problem, Jeffreys' prior
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
