Variance estimation for the finite population distribution function with complete auxiliary information
نویسندگان
چکیده
The authors develop jackknife and analytical variance estimators for the estimator of Chambers & Dunstan (1986) and Rao, Kovar & Mantel (1990) of the finite population distribution function, using complete auxiliary information. They also describe the associated model and show the design consistency of the variance estimators, whose small-sample performance is examined through a limited simulation study. They highlight the operational advantages of the jackknife in the model-based setting of Chambers & Dunstan (1986) and its better conditional performance in the design-based setting of Rao, Kovar & Mantel (1990).
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