One-sided confidence intervals in discrete distributions
By Tommaso Cai. 2005
153 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bd9b7d5f4995f019a9b11cad6e6b1ded49876b96
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In Statistics and Probability
- Meesook Lee
- Fernando Gonzalez Gonzalez
- Kalimuthu Krishnamoorthy
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Citations in the corpus
- Measures of Location for Confidence Intervals for Proportions (2011, unknown): “Cai (2005) discussed such intervals. Interestingly, he concluded that the one-sided Wilson interval has inappropriate coverage—which is largely attributable to its less-than-ideal location. Sometimes, for example in the above contexts of estimating sensitivity, specificity, or prevalence, one of the”
- Estimation of aquifer scale proportion using equal area grids: Assessment of regional scale groundwater quality (2010, methodology): “The Jeffreys interval is used because it provides a narrower confidence interval and better one‐sided coverage probability [Cai, 2005] than the Wilson and Agresti‐Coull intervals.”
- The Performance of Credit Rating Systems in the Assessment of Collateral used in Eurosystem Monetary Policy Operations (2007, background): “Hence a clear relation between probabilities of default and rating grades definitely exists, and it has been the subject of several studies (Cantor and Falkenstein (2001), Blochwitz and Hohl (2001), Tiomo (2004), Jafry and Schuermann (2004) and Christensen et al.”
- The cost of using exact confidence intervals for a binomial proportion (2013, methodology): “[6], Cai [7] and Staicu [24] on the asymptotics of approximate binomial confidence methods to exact intervals and bounds.”
- Inference for functions of parameters in discrete distributions based on fiducial approach: Binomial and Poisson cases (2010, methodology): “It has been noted in the literature (e.g., Brown, Cai and Das Gupta, 2001 and Cai, 2005) that Bk+1/2,n−k+1/2 is the posterior distribution with the Jeffreys prior B1/2,1/2.”