A note on bootstrap confidence intervals for proportions
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DOI: 10.1016/j.spl.2013.09.005
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References listed on IDEAS
- Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
- Li, Zhiguo & Taylor, Jeremy M. G. & Nan, Bin, 2010. "Construction of Confidence Intervals and Regions for Ordered Binomial Probabilities," The American Statistician, American Statistical Association, vol. 64(4), pages 291-298.
- Rudolf Beran, 1997. "Diagnosing Bootstrap Success," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 49(1), pages 1-24, March.
- Joseph Romano, 1988. "Bootstrapping the mode," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(3), pages 565-586, September.
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Keywords
Binomial distribution; Coverage probability; Multinomial distribution; Relative risk; Odds ratio;All these keywords.
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