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双抽样框调查的统计推断
In a dual frame survey, samples are drawn independently from two overlapping frames that together cover the population of interest. Several estimators for population totals in dual frame surveys are discussed and compared under a unified setup. We propose jackknife variance estimators, establish their design consistency, and explore their finite-sample performance in a simulation study.
双抽样框调查的统计推断
In a dual frame survey, samples are drawn independently from two overlapping frames that together cover the population of interest. Several estimators for population totals in dual frame surveys are discussed and compared under a unified setup. We propose jackknife variance estimators, establish their design consistency, and explore their finite-sample performance in a simulation study.
单向随机效应模型的最优贝叶斯实验设计
Since variance components are nonlinear parameters in a linear model, classical optimal designs for estimating variance components in the one-way random effects model depend on the values of the parameters. Optimal Bayesian designs are derived for the more realistic situation of unknown parameters, using the Fisher information of the variance components as a basis for comparing the designs. Balanced designs, in which the same number of measurements are taken on each unit,…
利用三阶段抽样进行精确多元估计
Any multiresponse estimation experiment requires a decision about the number of observations to be taken. If the covariance is unknown, no fixed-sample-size procedure can guarantee that the joint confidence region will have an assigned shape and level. Double-sampling procedures use a preliminary sample of size $m$ to determine the minimum number of additional observations needed to achieve a prescribed accuracy and coverage probability for the parameter estimates. The…