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 language | English |
|---|---|
| Pages (from-to) | 2266-2285 |
| Number of pages | 20 |
| Journal | Communications in Statistics: Simulation and Computation |
| Volume | 47 |
| Issue number | 8 |
| DOIs | |
| State | Published - 14 09 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018, © 2018 Taylor & Francis Group, LLC.
Keywords
- Central limit theorem
- Confidence limit
- Control chart
- Statistical process control
- Yates’ correction