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[Shiny App] Length/Coverage Optimal (LCO) Confidence Intervals
In 2014, Schilling and Doi developed a binomial confidence interval procedure that produces coverage probabilities always at least equal to the stated confidence level (e.g., a strict method), and which, among all procedures that have this property, give confidence intervals having the minimum possible average length and the highest possible coverages. They called this the LCO method (for length/coverage optimal). This Shiny app generates LCO...
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- Reference: Doi, J., Potter, G., Wong, J., Alcaraz, I., and Chi, P. (2016) “Web Application Teaching Tools for Statistics Using R and Shiny.” Technology Innovations in Statistics Education 9(1). Available at http://escholarship.org/uc/item/00d4q8cp This Shiny app is part of the Cal Poly Statistics Dept Shiny Series found at http://www.statistics.calpoly.edu/shiny
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This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International
