Estimating the Population Median by Nomination Sampling
提出一种提名抽样方法，通过排序多个独立随机样本中的最大值来估计总体中位数，该方法在仅保留极端值的历史数据中尤为实用，且适用于受访者希望主动影响样本选择的情形。
Abstract In nomination sampling, the largest values from several independent random samples (nominees) are rank ordered, and an estimate of the population median is formed by interpolating between two of these order statistics. The resulting estimate compares favorably to the sample median of a simple random sample from the same population. When historical data sets retain only extreme values, nomination sampling may offer the only practical way to estimate the population median. The approach may also be useful when potential survey respondents will only participate if they can actively influence the selection of cases for analysis.