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What is Clopper-Pearson Confidence Intervals Explained about?

This paper revisits the Clopper-Pearson method for constructing confidence intervals for the probability of success in a Bernoulli distribution and extends it to other single-parameter distributions like Poisson and exponential. The author provides a pedagogical justification for the method and demonstrates how these extensions lead to various well-known confidence intervals. The findings contribute to the literature by offering a systematic approach to confidence interval construction across different dist

Author

drem land

Language

EN