114年第1學期-6190 增量衰退量模型專題(一) 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| 期末報告 | 100 |
選課分析
本課程名額為 70人,已有1 人選讀,尚餘名額69人。
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授課教師
俞一唐教育目標
藉由討論期刊論文,學習最新有關衰退量分析方面的統計方法。
課程概述
A common method for modeling degradation processes involves the use of stochastic processes. The literature highlights several widely adopted models, including the Wiener process, gamma process, and inverse Gaussian process. Increment degradation models can be seen as extensions of these stochastic process-based models, achieved by relaxing the additive property. Increment degradation models are purely empirical in nature. This opens up opportunities to explore alternative distributions for modeling increments, allowing for a more flexible representation of degradation behavior. This course addresses the challenges that arise from the absence of the additive property, particularly in constructing likelihood functions and predicting lifetime distributions.
課程資訊
基本資料
選修課,學分數:1-0
上課時間:二/4[M438]
修課班級:統計博3-7
修課年級:3年級以上
選課備註:
教師與教學助理
授課教師:俞一唐
大班TA或教學助理:尚無資料
Office HourM450(二)15:00-16:00
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
selected papers
開課紀錄
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