頁籤選單縮合
題 名 | A Model-Based Evaluation of Several Well-Known Variance Estimators for the Combined Ratio Estimator |
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作 者 | Kott,Phillip S.; | 書刊名 | Statistica Sinica |
卷 期 | 8:4 1998.10[民87.10] |
頁 次 | 頁1165-1173 |
分類號 | 319.52 |
關鍵詞 | Balanced half sampling; Jackknife; Linearization; Primary sampling unit; |
語 文 | 英文(English) |
英文摘要 | This note explores variance estimation of a combined ratio estimator from a purely model-based viewpoint. It shows that given a sample containing two distinct primary sampling units in every stratum, many of the standard randomization-based variance estimators are equally good estimators of model variance. In fact, model-based comparisons of four variance estimators, a form of the linearization variance estimator, the standard form of the jackknife, and two common forms of balanced half sampling parallel well-known randomization-based results. By contrast, a "textbook" version of the linearization variance estimator does not estimate model variance as well as these four. Part of the analysis can be extended to estimated linear regression coefficients and to regression estimators for population means expressible in projection form. |
本系統中英文摘要資訊取自各篇刊載內容。