Estimating Proportions From Randomized Response Data Using the EM Algorithm
本文展示了如何将EM算法应用于随机化应答数据，通过将数据视为混合数据来估计比例，适用于复杂设计，并用真实数据演示。
Abstract The computation of maximum likelihood estimates for proportions from randomized response (RR) data may require numerical methods, especially for the more complex RR designs involving multiple proportions and samples. It is shown that one can apply the EM algorithm by viewing the RR data as mixture data, and taking the proportions to be estimated as the mixing proportions. A general formulation is presented for both related-question and unrelated-question RR designs, and illustrated with a real data set.