New Results for Computing Blaker’s Exact Confidence Interval for One Parameter Discrete Distributions

Abstract

The authors state new general results for computing Blaker’s exact confidence interval limits for usual one-parameter discrete distributions. Specific results for implementing an accurate and fast algorithm are made explicit for the binomial, negative binomial, Poisson and hypergeometric model.

Keywords:

• Algorithm
• Binomial model
• Blakers exact confidence interval
• Hypergeometric model
• Negative binomial model
• Poisson model.

Mathematics Subject Classification:

• Primary 62F25; Secondary 62F04.