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), pp. 14831493. (doi:10.1080/00949655.2010.492473).
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Description/Abstract
This article considers the construction of level 1?? 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 fixedsamplesize 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?? confidence level. These sequential confidence intervals require a much smaller sample size than a fixedsamplesize confidence interval. For the coin jamming example considered, a fixedsamplesize confidence interval requires a sample size of 9457, while a sequential confidence interval requires a sample size that rarely exceeds 2042
Item Type:  Article  

Digital Object Identifier (DOI):  doi:10.1080/00949655.2010.492473  
ISSNs:  00949655 (print) 

Subjects:  
Organisations:  Statistics  
ePrint ID:  337145  
Date : 


Date Deposited:  19 Apr 2012 13:46  
Last Modified:  17 Apr 2017 17:18  
Further Information:  Google Scholar  
URI:  http://eprints.soton.ac.uk/id/eprint/337145 
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