查詢結果分析
相關文獻
- Confidence Intervals for Multivariate Process Capability Indices Using Bootstrap
- 玻璃證物化學分析數據之自動化處理
- 從實務工作者觀點分析成人學習的動機--以復興工商專校附設專科進修學校為例
- 科學證據與侵權行為法:美國有關邊得克汀訴訟的省思
- 兩個常態母體中SN比之差的廣義信賴區間
- 什麼是信賴區間(Confidence Interval)﹖
- 以核估式估計中位有效劑量之研究
- 以Delta法求中位有效劑量及相對效能的信賴區間
- Hybrid Resampling Methods for Confidence Intervals
- The Efficiency of Ranked-Set Sampling Relative to Simple Random Sampling under Multi-Parameter Families
頁籤選單縮合
題 名 | Confidence Intervals for Multivariate Process Capability Indices Using Bootstrap=以複式抽樣法建立多變量製程能力指標數值之信賴區間 |
---|---|
作 者 | 王福琨; 陳欽雨; | 書刊名 | 工業工程學刊 |
卷 期 | 15:5 1998.09[民87.09] |
頁 次 | 頁429-438 |
分類號 | 400.24 |
關鍵詞 | 複式抽樣法; 信賴區間; 多變量製程能力指標數值; Bootstrap; Confidence interval; Multivariate process capability index; |
語 文 | 英文(English) |
中文摘要 | 多變量製程能力指標數值已被廣泛用為評估具多重特性之製程。由於區間估比點估計較能完解釋指數值的影響程度,因此經常被研究者採用。然而,多變量製程能力指標數值之統計分配通常極為複雜,故欲建立這些指標數值之信賴區間頗為困難。可行辦法之一是採用複式抽樣法( bootstrap ),此法根據實證之機率分配函數, 運用重複抽樣方式收集資料。本研究採用四種複式抽樣法:標準,百分位數,矯正百分位數,及加速矯正百分位數,進行資料蒐集以建立各指標數值之信賴區間。研究結果顯示:若以標準及百分位數抽樣資料分析時, 本研究所採用三種多變量製程能力指標數值,C�d ,MC �咫� MC �d其信賴區間有較高比例含蓋原指標數值。但是若針對其它兩種取樣方法之資料分析時,信賴區間所含蓋比例在不同製程能力指標數值之間,差異相當大。 |
英文摘要 | Multivariate process capability indices have recently been developed for assessing the capability of processes with multiple characteristics. In many situations, confidence intervals are more useful than point estimates, because an interval estimate enables a practitioner to see both how small and how large an effect may be. Unfortunately, the statistical distributions of multivariate process capability indices are complicated, and bence it can be difficult to construct confidence intervals no these indices. As an alternative, bootstrap sampling, which is equivalent to sampling with replacement from an empirical porobability distribution function, can be used to construct confidence intervals on these indices. In this paper, four different types of Bootstrap methods-standard, percentile, bias-corrected percentile, and accelerated bias-corrected percentile are used to construct confidence intervals. Two real examples are given to show the application of the proposed method. The confidence intervals of three leading multivariate process capability indices, C�d,MC �� AND MC �d, are obtained using the standard and percentile bootstrap methods and the coverage proprtions for these indices are close to the nominal values. When the bias-corrected percentile and accelerated bias-corrected percentile methods are used, coverage proportions are sensitive to the choice of index. |
本系統中英文摘要資訊取自各篇刊載內容。