Confidence bands for quantile function under random censorship
作者： Chang-Jo F. Chung , Miklós Csörgő , Lajos Horváth
DOI: 10.1007/BF00050776
关键词: Probability density function 、 Wiener process 、 Quantile 、 Econometrics 、 Confidence interval 、 Statistics 、 Mathematics 、 Quantile function 、 Confidence and prediction bands
摘要: Some new confidence bands are established for the quantile function from randomly censored data. The method does not require estimation of density function. As an application, we construct length fractures in granitic plutons near Lac du Bonnet, Manitoba, where Underground Research Laboratory is being built nuclear waste disposal program Canada.
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