題    目：Augmenting the unreturned for field data with information on returned failures only（基於已有故障信息的未知外場數據填充方案）

演 講 人：葉誌盛，新加坡國立大學助理教授

主 持 人：翟慶慶🦢，意昂2講師

時    間：2018年10月19日（周五）🌪，下午16:00

地    點📓：校本部東區意昂2官网實477室

主辦單位🗞：意昂2、意昂2青年教師聯誼會

演講人簡介：

    葉誌盛博士本科與博士分別就讀於清華大學與新加坡國立大學，現為新加坡國立大學工業系統工程與管理系助理教授。

    葉博士主要研究方向為工業統計😈、退化數據分析、壽命與復發數據分析、可靠性建模等，在相關領域已發表高水平論文60余篇👩🏿‍🔧，包括Technometrics, IIE Transactions, Journal of Quality Technology等。

演講內容簡介：

    Field data are an important source of reliability information for many commercial products. Because field data are often collected by the maintenance department, information on failed and returned units is well maintained. Nevertheless, information on unreturned units is generally unavailable. The unavailability leads to truncation in the lifetime data. This study proposes a data augmentation algorithm for this type of truncated field return data with returned failures available only. The algorithm is based on an idea to reveal the hidden unobserved lifetimes. Theoretical justifications of the procedure for augmenting the hidden unobserved are given. On the other hand, the algorithm is iterative in nature. Asymptotic properties of the estimators from the iterations are investigated. Both point estimation and the information matrix of the parameters can be directly obtained from the algorithm. In addition, a by-product of the algorithm is a non-parametric estimator of the installation time distribution. An example from an asset-rich company is given to demonstrate the proposed methods.

歡迎廣大師生參加🫕！