Confidence intervals based on interpolated order statistics
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Cited by:
- Bell, Peter N, 2013. "New Testing Procedures to Assess Market Efficiency with Trading Rules," MPRA Paper 46701, University Library of Munich, Germany.
- Jesse Frey & Yimin Zhang, 2017. "What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee?," The American Statistician, Taylor & Francis Journals, vol. 71(4), pages 305-309, October.
- Nourmohammadi, Mohammad & Jafari Jozani, Mohammad & Johnson, Brad C., 2014. "Confidence intervals for quantiles in finite populations with randomized nomination sampling," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 112-128.
- Juan Herrero & Carmen Castañeda, 2023. "Comparing Two Saline-Gypseous Wetland Soils in NE Spain," Land, MDPI, vol. 12(11), pages 1-17, October.
- Frey, Jesse, 2014. "Shorter nonparametric prediction intervals for an order statistic from a future sample," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 69-75.
- Papadatos, N., 1995. "Intermediate order statistics with applications to nonparametric estimation," Statistics & Probability Letters, Elsevier, vol. 22(3), pages 231-238, February.
- Szilárd Nemes, 2019. "Likelihood Confidence Intervals When Only Ranges Are Available," Stats, MDPI, vol. 2(1), pages 1-7, February.
- Beutner, E. & Cramer, E., 2014. "Using linear interpolation to reduce the order of the coverage error of nonparametric prediction intervals based on right-censored data," Journal of Multivariate Analysis, Elsevier, vol. 129(C), pages 95-109.
- Chaitra H. Nagaraja & Haikady N. Nagaraja, 2020. "Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles," International Statistical Review, International Statistical Institute, vol. 88(1), pages 75-100, April.
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