دورية أكاديمية

Studentization and prediction in a multivariate normal setting.

التفاصيل البيبلوغرافية
العنوان: Studentization and prediction in a multivariate normal setting.
المؤلفون: Eaton, Morris L.1 eaton@stat.umn.edu, Fraser, D. A. S.2 dfraser@utstat.toronto.edu
المصدر: Statistica Neerlandica. Aug2005, Vol. 59 Issue 3, p268-276. 9p.
مصطلحات موضوعية: *MULTIVARIATE analysis, *ANALYSIS of variance, *MATHEMATICAL statistics, *PROBABILITY theory, *MATHEMATICS
مستخلص: In a simple multivariate normal prediction setting, derivation of a predictive distribution can flow from formal Bayes arguments as well as pivoting arguments. We look at two special cases and show that the classical invariant predictive distribution is based on a pivot whose sampling distribution depends on the parameter – that is, the pivot is not an ancillary statistic. In contrast, a predictive distribution derived by a structural argument is based on a pivot with a parameter free distribution (an ancillary statistic). The classical procedure is formal Bayes for the Jeffreys prior. Our results show that this procedure does not have a structural or fiducial interpretation. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Business Source Index
الوصف
تدمد:00390402
DOI:10.1111/j.1467-9574.2005.00297.x