The Dirichlet Multinomial Distribution as a Magazine Exposure Model
研究了狄利克雷多项分布（DMD）在杂志媒体曝光分布建模中的参数化方法，比较了多种参数估计方法，基于1979年SMRB数据的515个排期表，发现DMD优于包括流行的贝塔二项分布在内的其他模型。
The authors examine methods by which the Dirichlet multinominal distribution (DMD) can be parameterized in the modeling of magazine media exposure distributions. The performance of alternative methods of parameter estimation of the DMD is compared with that of three other exposure distribution models. Performance is assessed in terms of accuracy of predicted versus observed distributions on 515 tabulated schedules derived from 1979 SMRB data. Results show the DMD is superior in performance to all other models tested, including the popular beta binomial distribution (BBD).