頁籤選單縮合
題名 | Bootstrapping Sample Quantiles Based on Complex Survey Data under Hot Deck Imputation= |
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作者 | Shao,Jun; Chen,Yinzhong; |
期刊 | Statistica Sinica |
出版日期 | 19981000 |
卷期 | 8:4 1998.10[民87.10] |
頁次 | 頁1071-1085 |
分類號 | 319.54 |
語文 | eng |
關鍵詞 | Imputation classes; Low income proportion; Stratified multistage sampling; |
英文摘要 | The bootstrap method works for both smooth and nonsmooth statistics, and replaces theoretical derivations by routine comp0utations. With survey data sampled using a stratified multistage sampling design, the consistency of the bootstrap variance estimators and bootstrap confidence intervals was established for smooth statistics such as functions of sample means (Rao, and Wu (1988)). How-over, similar results are not available for nonsmooth statistics such as the sample quantiles and the sample low income proportion. We consider a more complicated situation where the data set contains nonrespondents imputed using a random hot deck method. We establish the consistency of the bootstrap procedures for the samples quantiles and the sample low income proportion. Some empirical results are also presented. |
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