Construction of fixed width confidence intervals for a Bernoulli success probability using sequential sampling: a simulation study
Zhou, Sanyu and Liu, Wei (2011) Construction of fixed width confidence intervals for a Bernoulli success probability using sequential sampling: a simulation study. Journal of Statistical Computation and Simulation, 81, (11), 1483-1493. (doi:10.1080/00949655.2010.492473).
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This article considers the construction of level 1−α fixed width 2d confidence intervals for a Bernoulli success probability p, assuming no prior knowledge about p and so p can be anywhere in the interval [0, 1]. It is shown that some fixed width 2d confidence intervals that combine sequential sampling of Hall [Asymptotic theory of triple sampling for sequential estimation of a mean, Ann. Stat. 9 (1981), pp. 1229–1238] and fixed-sample-size confidence intervals of Agresti and Coull [Approximate is better than ‘exact’ for interval estimation of binomial proportions, Am. Stat. 52 (1998), pp. 119–126], Wilson [Probable inference, the law of succession, and statistical inference, J. Am. Stat. Assoc. 22 (1927), pp. 209–212] and Brown et al. [Interval estimation for binomial proportion (with discussion), Stat. Sci. 16 (2001), pp. 101–133] have close to 1−α confidence level. These sequential confidence intervals require a much smaller sample size than a fixed-sample-size confidence interval. For the coin jamming example considered, a fixed-sample-size confidence interval requires a sample size of 9457, while a sequential confidence interval requires a sample size that rarely exceeds 2042
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||Faculty of Social and Human Sciences > Mathematical Sciences > Statistics
|Date Deposited:||19 Apr 2012 13:46|
|Last Modified:||19 Apr 2012 13:46|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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