文章基本信息

标题：Extending Sitter's Mirror-Match Bootstrap to Cover Rao-Hartley-Cochran Sampling in Two-stages with Simulated Illustrations
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作者：Arijit Chaudhuri ; Indian Statistical Institute, Kolkata, India ; Amitava Saha 等
期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2004
卷号：66
期号：04
出版社：Indian Statistical Institute
摘要：A practical problem of estimating the total area under cultivation in Indian districts is addressed by two-stage sampling with unequal selection-probabilities. To assess the accuracy in estimation bootstrap technique is employed in constructing confidence intervals and simulation-based performance criteria are evaluated from live-data as are shown for competitive procedures. Rao-Hartley-Cochran's (RHC, 1962) scheme is employed in both stages of sampling. Sitter's mirrormatch bootstrap procedure is employed suitably modifying it to cover the two-stages.
关键词：Bootstrap, confidence intervals, correlation and regression estimation, generalized regression estimation,mirror-match, two-stage sampling, unequal selection-probabilities.