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Communications in Statistics - Theory and Methods Volume 14, 1985 - Issue 4
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Original Articles

Distribution-free confidence intervals for quantiles in small samples

Seth M. Steinberg The EMMES Corporation, 11325 Seven Locks Road, Potomac, MD, 20854
&
C. E. Davis Department of Biostatistics, The University of North Carolina, Chapel Hill, NC, 27514
Pages 979-990 | Received 01 Aug 1984, Published online: 09 Nov 2007

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Xiaoyu Liu, Yan Song & Kun Zhang. (2022) An exact bootstrap-based bandwidth selection rule for kernel quantile estimators. Communications in Statistics - Simulation and Computation 0:0, pages 1-22.
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W.D. Kaigh & Cheng Cheng. (1991) Subsampling quantile estimator standard errors with applications. Communications in Statistics - Theory and Methods 20:3, pages 977-995.
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W.D. Kaigh & Cheng cheng. (1991) Subsampling quantile estimators and uniformity criteria. Communications in Statistics - Theory and Methods 20:2, pages 539-560.
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Paul W. Stewart. (1989) Extension of the harrell-davis quantile estimator to finite populations. Communications in Statistics - Theory and Methods 18:3, pages 853-875.
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W.D. Kaigh. (1988) O-statistics and their applications. Communications in Statistics - Theory and Methods 17:7, pages 2191-2210.
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W.D. Kaigh & MichaelF. Driscoll. (1987) Numerical and Graphical Data Summary Using O-Statistics. The American Statistician 41:1, pages 25-32.
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Seth M. Steinberg & C. E. Davis. (1987) Comparison of nonparametric point estimators for interquantile differences in moderate sized samples. Communications in Statistics - Theory and Methods 16:6, pages 1607-1616.
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Articles from other publishers (2)

Cristiano Ialongo. (2019) Confidence interval for quantiles and percentiles. Biochemia medica 29:1, pages 5-17.
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Rand R. Wilcox. (1991) Testing whether independent treatment groups have equal medians. Psychometrika 56:3, pages 381-395.
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