The reduction of the average width of confidence bands for an unknown continuous distribution function

DOI10.1080/00949650701763464zbMath1169.62036OpenAlexW1992711931MaRDI QIDQ3636774

Xiaobo Ding, Shuran Zhao, Xingzhong Xu

Publication date: 29 June 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650701763464

zbMATH Keywords

powermaximum coveragetolerance regionminimum average widthstep confidence bands

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric tolerance and confidence regions (62G15)

Related Items (3)

Power comparisons of the unbiased Berk-Jones test and the unbiased reversed Berk-Jones test ⋮ On exactness and unbiasedness of confidence bands for a continuous distribution function ⋮ Two-sample Kolmogorov-Smirnov-type tests revisited: old and new tests in terms of local levels

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Confidence Bands for a Distribution Function Using the Bootstrap
• Goodness-of-fit test statistics that dominate the Kolmogorov statistics
• Nonparametric Likelihood Confidence Bands for a Distribution Function
• Rectangle Probabilities for Uniform Order statistics and the Probability That the Empirical Distribution Function Lies Between Two Distribution Functions
• The Calculation of Distributions of Two-Sided Kolmogorov-Smirnov Type Statistics
• Confidence Limits for Continuous Distribution Functions
• Note on Confidence Limits for Continuous Distribution Functions
• A Note on the Power of a Non-Parametric Test
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
• Confidence Limits for an Unknown Distribution Function

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