Geodesic
Asymptotically most accurate double-side confidence intervals in normal-normal model
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 152 (2010) no. 1, pp. 205-218 Cet article a éte moissonné depuis la source Math-Net.Ru

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This article presents a form of the most precise class of confidence intervals for the normal-normal model in $d$-posterior approach. It is possible to state its asymptotical behavior with the increase of the sample size. A way of the most asymptotically accurate confidence family construction is also suggested in this article.
Keywords: normal-normal model, $d$-posteriory probability of errors, double-side confidence intervals. 
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R. F. Salimov; S. V. Simushkin. Asymptotically most accurate double-side confidence intervals in normal-normal model. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 152 (2010) no. 1, pp. 205-218. http://geodesic.mathdoc.fr/item/UZKU_2010_152_1_a19/

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