Since the binomial distribution is discrete, finding accurate confidence intervals for its parameters is not easily achievable. Many approximate confidence intervals have been suggested for the binomial distribution's ratio parameter thus far. As we know, these confidence intervals have not been compared based on the maximum coverage probabilities. This article aims to evaluate six widely used confidence intervals for the binomial distribution's ratio parameter, focusing on their accurate maximum coverage probabilities criterion.
Shirvani, A. (2023). Comparative evaluation of different confidence intervals for the binomial proportion based on maximum coverage probabilities. Journal of Statistical Modelling: Theory and Applications, 4(2), 111-118. doi: 10.22034/jsmta.2024.21522.1139
MLA
Alireza Shirvani. "Comparative evaluation of different confidence intervals for the binomial proportion based on maximum coverage probabilities", Journal of Statistical Modelling: Theory and Applications, 4, 2, 2023, 111-118. doi: 10.22034/jsmta.2024.21522.1139
HARVARD
Shirvani, A. (2023). 'Comparative evaluation of different confidence intervals for the binomial proportion based on maximum coverage probabilities', Journal of Statistical Modelling: Theory and Applications, 4(2), pp. 111-118. doi: 10.22034/jsmta.2024.21522.1139
VANCOUVER
Shirvani, A. Comparative evaluation of different confidence intervals for the binomial proportion based on maximum coverage probabilities. Journal of Statistical Modelling: Theory and Applications, 2023; 4(2): 111-118. doi: 10.22034/jsmta.2024.21522.1139
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