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One-sided asymptotic inferences for a proportion.

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Álvarez Hernández, M. y Andrés, A. M. (2016) One-sided asymptotic inferences for a proportion. Journal of Applied Statistics . pp. 1-15. ISSN 0266-4763

URL Oficial: http://www.tandfonline.com/doi/abs/10.1080/02664763.2015.1117595?journalCode=cjas20


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Resumen

Two-sided asymptotic confidence intervals for an unknown proportion p have been the subject of a great deal of literature. Surprisingly, there are very few papers devoted, like this article, to the case of one tail, despite its great importance in practice and the fact that its behavior is usually different from that of the case with two tails. This paper evaluates 47 methods and concludes that (1) the optimal method is the classic Wilson method with a correction for continuity and (2) a simpler option, almost as good as the first, is the new adjusted Wald method (Wald's classic method applied to the data increased in the values proposed by Borkowf: adding a single imaginary failure or success).


Tipo de documento:Artículo
Palabras clave:One-sided asymptotic confidence interval; continuity correction; Wald method and adjusted Wald method; Wilson score method; Arcsine transformation
Materias:Ciencias > Matemáticas > Estadística aplicada
Código ID:36440
Depositado:11 May 2016 11:16
Última Modificación:11 May 2016 11:16

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