On the problem of the minimal sample size for the ratio estimation: an Empirical Bayes approach - Antonio Gambini, Enrico Di Bella - Vita e Pensiero - Articolo Statistica & Applicazioni

On the problem of the minimal sample size for the ratio estimation: an Empirical Bayes approach

digital On the problem of the minimal sample size for the ratio estimation: an Empirical Bayes approach
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2006 - 1
title On the problem of the minimal sample size for the ratio estimation: an Empirical Bayes approach
Authors
Publisher Vita e Pensiero
format Article | Pdf
language English
online since 06-2016
issn 1824-6672 (print) | 2283-6659 (digital)
Write a comment for this product
Download

Ebook format Pdf readable on these devices:

In many application contexts it may be useful to adopt a measure of pre-cision for the estimation of the proportion π of units belonging to a certain popula-tion having some definite characteristics taking into account the value of this un-known fraction. This work discusses the use of objective prior information, deriving from pre-test or pilot inquires, and the application of Empirical Bayes Procedures in the context of experimental sample design when there is the need for the definition of the minimal sufficient sampling size required to grant the desidered relative pre-cision.

Authors biography

Antonio Gambini, Dipartimento di Economia e Metodi Quantitativi (Di. E. M.) – Università degli Studi di Genova – Via Francesco Vivaldi, 5, 16126, GENOVA (e-mail: gambi-ni@economia.unige.it).

Enrico di Bella, Dipartimento di Economia e Metodi Quantitativi (Di. E. M.) – Università degli Studi di Genova – Via Francesco Vivaldi, 5, 16126, GENOVA (edibella@economia.unige.it).

This site or third-party tools used by this make use of cookies necessary for the operation and useful for the purposes outlined in the cookie policy.
If you want to learn more or opt out of all or some cookies, see the cookie policy.
By closing this warning, browsing this page, clicking on a link or continuing to browse otherwise, you consent to the use of cookies.

I Agree