کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6868662 | 1440030 | 2018 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing](/preview/png/6868662.png)
چکیده انگلیسی
Intermittent missingness in repeated duration analysis is common in applied studies, but has not been rigorously considered in statistics. Under intermittent missingness, whether any missing events exist between two observed events is unknown. In other words, the missing indicators are never observed. Thus, if there exist any missing events between two observed events, researchers observe only the cumulative duration of the two or more events. A quasi-Bayes estimation method that utilizes population-level information is used to appropriately estimate the parameters under unobserved intermittent missingness. The proposed model consists of the following: (1) a latent variable model, (2) a latent missing indicator model separating the true and composite durations, (3) mixtures of duration models, and (4) moment restriction from population-level information to deal with nonignorable intermittent missingness. A new estimation procedure is used to simultaneously combine likelihood and the objective function of GMM with the latent variables; this is called Bayesian data combination. The model is applied to the interpurchase duration in database marketing using the purchase history data of Japan; these data capture the purchase incidences and stores.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 126, October 2018, Pages 150-166
Journal: Computational Statistics & Data Analysis - Volume 126, October 2018, Pages 150-166
نویسندگان
Ryosuke Igari, Takahiro Hoshino,