Surveys Combining Probability and Quota Methods of Sampling
本文用贝叶斯模型分析有偏测量问题，比较全概率抽样与配额抽样的优劣，并开发出结合两者的最优资源分配规则，对调查设计者选择抽样方法有参考价值。
Abstract The problem of choosing between full probability and quota sampling is analyzed in terms of a Bayesian model of biased measurement. The model differs from previous models in its attempt to approximate the effects of the multistage cluster sampling used in actual national surveys. Allocation rules are developed that may involve devotion of all resources to quota sampling, to probability sampling, or to designs that combine both types of sampling. The sensitivity of the optimal allocation to the specification of the prior distribution and the cost parameters is investigated.