Optimal sample size for the Birnbaum-Saunders distribution under a decision-theoretic approach

Autor:	Costa, Eliardo G., Santos-Neto, Manoel
Rok vydání:	2020
Předmět:	Statistics - Methodology
Druh dokumentu:	Working Paper
Popis:	The Birnbaum-Saunders distribution has been widely applied in several areas of science and although several methodologies related to this distribution have been proposed, the problem of determining the optimal sample size for estimating its mean has not yet been studied. For this purpose, we propose a methodology to determine the optimal sample size under a decision-theoretic approach. In this approach, we consider loss functions for point and interval inference. Finally, computational tools in the R language were developed to use in practice. Comment: 13 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.12333 Zobrazit plný text záznamu View this record from Arxiv