博碩士論文 972205009 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:25 、訪客IP:3.144.12.52
姓名 呂恩澤(En-ze Lu)  查詢紙本館藏   畢業系所 統計研究所
論文名稱 群組資料指數分配型一逐步設限加速壽命試驗之最佳化設計
(Optimal Design in Two-Step-Stress Accelerated Life Tests with Progressively type-I Censored Data)
相關論文
★ 具Box-Cox轉換之逐步加速壽命實驗的指數推論模型★ 多元反應變數長期資料之多變量線性混合模型
★ 多重型 I 設限下串聯系統之可靠度分析與最佳化設計★ 應用累積暴露模式至單調過程之加速衰變模型
★ 串聯系統加速壽命試驗之最佳樣本數配置★ 破壞性加速衰變試驗之適合度檢定
★ 串聯系統加速壽命試驗之最佳妥協設計★ 加速破壞性衰變模型之貝氏適合度檢定
★ 加速破壞性衰變模型之最佳實驗配置★ 累積暴露模式之單調加速衰變試驗
★ 具ED過程之兩因子加速衰退試驗建模研究★ 逆高斯過程之完整貝氏衰變分析
★ 加速不變原則之偏斜-t過程★ 花蓮地區地震資料改變點之貝氏模型選擇
★ 颱風降雨量之統計迴歸預測★ 花蓮地區地震資料之長時期相關性及時間-空間模型之可行性
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 加速壽命試驗是一種快速測量物件壽命的方法。本文考慮單一應力下兩階段的型一逐步設限加速壽命試驗, 在群組資料下假設物件壽命分配為指數分配, 且物件壽命和應力水準有線性與對數線性兩種模型之下, 分別在V-準則、D-準則和A-準則下決定最佳化試驗時間。在貝氏最佳化試驗中, 我們建議決定先驗分布的方法, 並比較其與傳統方法之差異。研究結果顯示, 若我們對參數有充份的訊息, 則貝氏最佳化設計較傳統方法好。
摘要(英) Accelerated life test (ALT) is a quickly method for estimating the life of item in reliability. Optimal design on the experimental time is an important issue on the ALT. In this thesis, we consider a two-step-stress accelerated life test under progressively Type-I censoring scheme, and
assume that the lifetime of each item follows an exponential distribution with grouped data. Determinations of the optimal experimental time based on V-optimality, D-optiamlity and A-optimality criteria with the mean life time of the experiment item being a linear and loglinear function of the stress variable are disscussed, respectively. We also study the corresponding Bayesian designs, and provide a way to select the prior distribution compared with the traditional methods. Empirical studies indicate that if we have more information from the parameters, we can do beter than the
traditional design.
關鍵字(中) ★ 群組資料
★ 逐步設限
★ 加速壽命試驗
★ 最佳化設計
★ 型一設限
關鍵字(英) ★ Accelarate life test
★ step-stress accelarate life test
★ censoring scheme
★ grouped data
★ type-I censoring
★ Bayesian optimal design
論文目次 摘要.....................i
Abstract.....................ii
誌謝.....................iii
目錄.....................iv
圖目次.....................vii
表目次.....................viii
第一章緒論.....................1
1.1 研究動機.....................1
1.2 研景背景.....................2
1.3 研究方法..................... 4
第二章線性模型下之型一逐步設限加速壽命最佳化試驗.....................5
2.1 模型介紹與假設.....................5
2.2 最大概似推論.....................7
2.3 最佳化準則..................... 10
2.3.1 V-最佳化準則.....................10
2.3.2 D-最佳化準則.....................10
2.3.3 A-最佳化準則.....................11
2.4 貝氏最佳化準則.....................12
2.4.1 貝氏V-最佳化準則.....................12
2.4.2 貝氏D-最佳化準則.....................15
2.4.3 貝氏A-最佳化準則.....................16
第三章對數線性模型下之型一逐步設限加速壽命最佳化試驗20
3.1 最大概似推論.....................20
3.2 最佳化準則..................... 23
3.2.1 V-最佳化準則.....................23
3.2.2 D-最佳化準則.....................24
3.2.3 A-最佳化準則.....................25
3.3 貝氏最佳化準則.....................25
第四章數值分析.....................28
4.1 線性模型下傳統最佳化之數值分析.....................28
4.2 線性模型下貝氏設計的數值分析.....................30
4.2.1 選擇眾數之先驗分布.....................30
4.2.2 選擇平均數之先驗分布.....................35
4.3 對數線性模型下傳統最佳化之數值分析...................36
4.4 對數線性模型下貝氏設計的數值分析.....................38
第五章結論與展望.....................66
參考文獻.....................67
參考文獻 [1] Atkinson, A. C. and Cook, R. D. (1995). “D-optimum designs for heteroscedastic linear mod-
els.” Journal of the American Statistical Association, 90, 204-212.
[2] Bai, D.S., and Kim, M.S. (1993). “Optimum simple step-stress accelerated life tests for weibull
distribution and type I censoring.” Naval Research Logistics, 40, 193-210.
[3] Bai, D.S., Kim, M.S. and Lee, S.H. (1989). “Optimum simple step-stress accelerated life tests
with censoring.” IEEE Transactions on Reliability, 38, 528-532.
[4] Balakrishnan, N. and Aggarwala,R. (2000). Progressive Censoring: Theory, Method, and
Applications. Birkhauser, Boston.
[5] Chalonerk, K. and Larntzk, K. (1992). “Bayesian design for accelerated life testing.” Journal
of Statistical Planning and Inference, 33, 245-259.
[6] Cohen, A.C. (1963). “Progressively censored samples in life testing.” Technometries, 5, 327-
329.
[7] Degroot, M. H. and Goel, P. K. (1979). “Bayesian estimation and optimal design in partially
accelerated life testing.” Naval Research Logistics Quart, 26, 223-235.
[8] Degroot, M. H. and Goel, P. K. (1988). Bayesian design and analysis of accelerated life testing
with step stress. In Accelerated Life Testing and Experts’ Opinions in Reliability (C. A.
Clarotti and D. V. Lindley, eds.) 193-202. North-Holland, Amsteram.
[9] Fan T.H., Wang W.L. and Balakrishnan, N. (2008). “Exponential progressive step-stress life-
testing with link function based on Box-Cox transformation.” Journal of Statistical Planning
and Inference, 138, 2340-2354.
[10] Gouno, E., Sen, A. and Balakrishnan, N. (2004). “Optimal step-stress test under progressive
Type-I censoring.” IEEE Transactions on Reliability, 53, 383-393.
[11] Khamis, I.H. (1997). “Optimum M-step, step-stress test with k stress variables.” Communications
in Statistics - Simulation and Computation, 26, 1301-1313.
[12] Khamis, I.H. and Higgins, J.J. (1998). “A new model for step-stress testing.” IEEE Transactions
on Reliability, 47, 131-134.
[13] Miller, R. and Nelson, W. (1983). “Optimum simple step stress plans for accelerated life
testing.” IEEE Transactions on Reliability, 32, 59-65.
[14] Naylor, J. D. H. (1994). Optimal design for accelerated life tests with restricted resources
. Ph.D. dissertation, School of Statistics, Univ. Minnesota.
[15] Nelson,W. (1980). “Accelerated life testing - step-stress models and data analysis.” IEEE
Transactions on Reliability, 29, 103-108.
[16] Nelson, W. (1990). Accelerated Testing: Statistical Models, Test Plans, and Data Analyses
. John Wiley & Sons, New York.
[17] Tang, L.C., Sun, Y.S., Goh, T.N. and Ong, H.L. (1996). “Analysis of step-stress accelerated-
life-test data: a new approach.” IEEE Transactions on Reliability, 51, 69-74.
[18] Tang, L.C., Sun, Y.S., Goh, T.N. and Ong, H.L. (1999). “Planning accelerated life tests for
censored two-parameter exponential distributions.” Naval Research Logistics, 16, 169-18.
[19] Verdinelli, I., Polson, N. and Singpurwalla, N. (1993). Shannon information and Bayesian
design for prediction in accelerated life testing. In Reliability and Decision Making(R. E.
Barlow, C. A. Clarotti and F. Spizzichino, eds.) 247-256. Chapman and Hall, London.
[20] Wu, S.J., Lin, Y.P. and Chen, Y.J. (2006). “Planning step-stress life test with progressively
type I group-censored exponential data.” Neerlandica, 60, 46-56.
[21] Xiong, C. and Ji, M. (2004). “Analysis of grouped and censored data from stepstress life
test.” IEEE Transactions on Reliability, 53, 22-28.
[22] 吳秉懌. (2008). ”群組資料指數分配加速壽命試驗之貝氏可靠度分析與最佳化設計.” 國立中
央大學統計研究所碩士論文.
[23] 林章權. (2008). ”逐步加速壽命試驗之貝氏可靠度分析與最佳化設計.” 國立中央大學統計研
究所碩士論文.
指導教授 樊采虹(Tsai-Hung Fan) 審核日期 2010-6-30
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明