Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/21434
Title: Approximate confidence intervals for a linear combination of binomial proportions: A new variant
Author: Escudeiro, S.
Freitas, A.
Afreixo, V.
Keywords: Approximate confidence intervals
Interval location
Restricted and unrestricted models
Issue Date: 2017
Publisher: Taylor & Francis
Abstract: We propose a new adjustment for constructing an improved version of theWald interval for linear combinations of binomial proportions, which addresses the presence of extremal samples. A comparative simulation study was carried out to investigate the performance of this new variant with respect to the exact coverage probability, expected interval length, and mesial and distal noncoverage probabilities. Additionally, we discuss the application of a criterion for interpreting interval location in the case of small samples and/or in situations in which extremal observations exist. The confidence intervals obtained from the new variant performed better for some evaluation measures.
Peer review: yes
URI: http://hdl.handle.net/10773/21434
DOI: 10.1080/03610918.2016.1241408
ISSN: 0361-0918
Appears in Collections:CIDMA - Artigos
PSG - Artigos

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