政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/61614
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113656/144643 (79%)
造訪人次 : 51748394      線上人數 : 593
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋
    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/61614


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/61614


    題名: Uniform Design over General Input Domains with Applications to Target Region Estimation in Computer Experiments
    作者: 洪英超
    Chuang, S. C.;Hung;Y. C.
    貢獻者: 統計系
    關鍵詞: Dirichlet 隨機向量;電腦生成時間;敏感度分析;多維度適合度
    Dirichlet random vector;Computer generation time;Sensitivity analysis;Multivariate goodness-of-fit
    日期: 2010.01
    上傳時間: 2013-11-11 17:47:58 (UTC+8)
    摘要: 在這篇文章中，我們提供一些用以生成 Dirichlet 隨機向量的演算法，並根據以下標準來評估這些演算法的表現：（一）電腦生成時間；（二）敏感度；以及（三）適合度。 另外，我們特別檢驗一個基於 beta 變量轉換的演算法，並提供三個方針以減少此演算法的生成時間。模擬的結果顯示，除了所有（或大部分）的形狀變數都相當接近零的情況之外，基於我們所提出的方針整合而成的演算法顯著地在電腦生成時間上勝過其他的演算法。
    The power of uniform design (UD) has received great attention in the area of computer experiments over the last two decades. However, when conducting a typical computer experiment, one finds many non-rectangular types of input domains on which traditional UD methods cannot be adequately applied. In this study, we propose a new UD method that is suitable for any type of design area. For practical implementation, we develop an efficient algorithm to construct a so-called nearly uniform design (NUD) and show that it approximates very well the UD solution for small sizes of experiment. By utilizing the proposed UD method, we also develop a methodology for estimating the target region of computer experiments. The methodology is sequential and aims to (i) provide adaptive models that predict well the output measures related to the experimental target; and (ii) minimize the number of experimental trials. Finally, we illustrate the developed methodology on various examples and show that, given the same experimental budget, it outperforms other approaches in estimating the prespecified target region of computer experiments.
    關聯: Computational Statistics & Data Analysis, 54(1), 219-232
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1016/j.csda.2009.08.008
    DOI: 10.1016/j.csda.2009.08.008
    顯示於類別:[統計學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    1-s2.0-S016794730900293X-main.pdf4263KbAdobe PDF21018檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋