New method yields shorter confidence intervals for discrete distributions parameters.
Interval estimates for discrete distributions parameters can sometimes fall short of being true confidence intervals. A new method, the OLC method, has been developed to address this issue. This method provides locally correct confidence intervals with shorter average lengths compared to other methods. The OLC method has been successfully applied to parameters of the binomial, Poisson, and negative binomial distributions.