Tandem-width sequential confidence intervals for a Bernoulli proportion. Issue 2 (3rd April 2019)

• Record Type: Journal Article
• Authors: Yaacoub, Tony; Goldsman, David; Mei, Yajun; Moustakides, George V.
• Is Part Of: Sequential analysis. Volume 38:Issue 2(2019)
• Page Start: 163
• Page End: 183
• Publication Date: 2019-04-03
• Subjects: Bernoulli proportion -- binomial distribution -- confidence interval -- sequential analysis -- stopping time; 62L12 -- 60G40; Sequential analysis -- Periodicals; 519.54
• DOI: 10.1080/07474946.2019.1611315
• Languages: English
• ISSNs: 0747-4946

Abstract

Abstract: We propose a two-stage sequential method for obtaining tandem-width confidence intervals for a Bernoulli proportion p . The term "tandem-width" refers to the fact that the half-width of the 100 ( 1 − α ) % confidence interval is not fixed beforehand; it is instead required to satisfy two different half-width upper bounds, h 0 and h 1, depending on the (unknown) values of p . To tackle this problem, we first propose a simple but useful sequential method for obtaining fixed-width confidence intervals for p, whose stopping rule is based on the minimax estimator of p . We observe Bernoulli( p ) trials sequentially, and for some fixed half-width h = h 0 or h 1, we develop a stopping time T such that the resulting confidence interval for p, [ p ̂ T − h, p ̂ T + h ], covers the parameter with confidence at least 100 ( 1 − α ) %, where p ̂ T is the maximum likelihood estimator of p at time T . Furthermore, we derive theoretical properties of our proposed fixed-width and tandem-width methods and compare their performances with existing alternative sequential schemes. The proposed minimax-based fixed-width method performs similarly to alternative fixed-width methods, while being easier to implement in practice. In addition, the proposed tandem-width method produces effective savings in sample size compared to the fixed-width counterpart and provides excellent results for scientists to use when no prior knowledge of p is available.