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X-WR-CALNAME:淡江大學活動報名系統
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X-LIC-LOCATION:Asia/Taipei
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BEGIN:VEVENT
DESCRIPTION:數學系演講公告-General Degradation Model with Measurement Errors\n活動報
 名連結：\nhttps://enroll.tku.edu.tw/course.aspx?cid=tsmx111030\n活動地點：科學館 S433
 室\n主講人：艾雪芳 博士 (中央研究院統計科學研究所)\n摘要Abstract: \nDegradation analysis has beco
 me the most important technique and efficient method for developing stati
 stical models of highly reliable products. When there are measurement err
 ors in monotonic degradation paths\, the assumption of the non-monotonic 
 model can lead to contradictions between physical/chemical mechanisms and
  statistical/engineering explanations. To settle the contradiction\, this
  study presents an independent increment degradation-based process that s
 imultaneously considers the unit-to-unit variability\, within-unit variab
 ility\, and measurement error in the degradation data. To estimate the mo
 del parameters\, we use a quasi-Monte Carlo approach to overcome high-dim
 ensional integrals of the likelihood function\, in addition to providing 
 a model-checking procedure to assess the validity of model assumptions. S
 ome case studies are performed to demonstrate the flexibility and applica
 bility of the proposed models.\n\n備  註：本活動與SDGs連結如下：SDG4優質教育\n報名期間：2021-1
 0-29 16:30:00~2021-11-22 17:00:00
DTEND:20211123T173000
DTSTAMP:20260714T131802Z
DTSTART:20211123T160000
ORGANIZER;CN=淡江大學活動報名系統 iCalendar:mailto:no-reply@mail.tku.edu.tw
SEQUENCE:0
SUMMARY:數學系演講公告-General Degradation Model with Measurement Errors
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ACTION:DISPLAY
SUMMARY:活動準備開始：數學系演講公告-General Degradation Model with Measurement Errors
TRIGGER:-PT30M
END:VALARM
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:數學系演講公告-General Degradation Model with Measurement Errors\n活動報
 名連結：\nhttps://enroll.tku.edu.tw/course.aspx?cid=tsmx111030\n活動地點：科學館 S433
 室\n主講人：艾雪芳 博士 (中央研究院統計科學研究所)\n摘要Abstract: \nDegradation analysis has beco
 me the most important technique and efficient method for developing stati
 stical models of highly reliable products. When there are measurement err
 ors in monotonic degradation paths\, the assumption of the non-monotonic 
 model can lead to contradictions between physical/chemical mechanisms and
  statistical/engineering explanations. To settle the contradiction\, this
  study presents an independent increment degradation-based process that s
 imultaneously considers the unit-to-unit variability\, within-unit variab
 ility\, and measurement error in the degradation data. To estimate the mo
 del parameters\, we use a quasi-Monte Carlo approach to overcome high-dim
 ensional integrals of the likelihood function\, in addition to providing 
 a model-checking procedure to assess the validity of model assumptions. S
 ome case studies are performed to demonstrate the flexibility and applica
 bility of the proposed models.\n\n備  註：本活動與SDGs連結如下：SDG4優質教育\n報名期間：2021-1
 0-29 16:30:00~2021-11-22 17:00:00
DTEND:20211029T163000
DTSTAMP:20260714T131802Z
DTSTART:20211029T163000
LOCATION:https://enroll.tku.edu.tw/course.aspx?cid=tsmx111030
ORGANIZER;CN=淡江大學活動報名系統 iCalendar:mailto:no-reply@mail.tku.edu.tw
SEQUENCE:0
SUMMARY:活動開始報名：數學系演講公告-General Degradation Model with Measurement Errors；期
 間為 2021-10-29 16:30:00 ~ 2021-11-22 17:00:00
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ACTION:DISPLAY
SUMMARY:開始報名：數學系演講公告-General Degradation Model with Measurement Errors
TRIGGER:-PT30M
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