Generalised Clopper-Pearson confidence intervals for the binomial proportion
In this paper we develop some new confidence intervals for the binomial proportion. The Clopper-Pearson interval is interpreted as an outcome of randomised confidence interval theory. The problem of randomised intervals possibly being empty is solved using a new technique involving 'tail functions, with the offshoot being a new class of randomised and Clopper-Pearson intervals. Some of the new intervals are investigated and shown to have attractive frequentist properties. Coverage probabilities...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Statistical Computation and Simulation|
|01_Puza_Generalised_Clopper-Pearson_2006.pdf||1.92 MB||Adobe PDF||Request a copy|
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