Critical review and comparison of continuity correction methods: The normal approximation to the binomial distribution

  • Takeshi Emura*
  • , Yu Ting Liao
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

We provide a comprehensive and critical review of Yates’ continuity correction for the normal approximation to the binomial distribution, in particular emphasizing its poor ability to approximate extreme tail probabilities. As an alternative method, we also review Cressie's finely tuned continuity correction. In addition, we demonstrate how Yates’ continuity correction is used to improve the coverage probability of binomial confidence limits, and propose new confidence limits by applying Cressie's continuity correction. These continuity correction methods are numerically compared and illustrated by data examples arising from industry and medicine.

Original languageEnglish
Pages (from-to)2266-2285
Number of pages20
JournalCommunications in Statistics: Simulation and Computation
Volume47
Issue number8
DOIs
StatePublished - 14 09 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Taylor & Francis Group, LLC.

Keywords

  • Central limit theorem
  • Confidence limit
  • Control chart
  • Statistical process control
  • Yates’ correction

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