淡江大學機構典藏:Item 987654321/112681
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 58317/91854 (63%)
造訪人次 : 14029792      線上人數 : 89
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112681


    題名: Spatial Distribution of Taiwan Air Pollutant-An Application of Spatial Quantile Regression, The 28th International Biometric Conference
    作者: Chang, Y.-M
    關鍵詞: air pollution;spatial temporal data;quantile regression;variable selection;Lasso
    日期: 2016-08-11
    上傳時間: 2018-02-03 02:10:35 (UTC+8)
    摘要: Many literatures have pointed out that air pollutants increase morbidity risks of a number of diseases. It would affect the growth ofnational health expense . In this research, we are interested in estimating quantiles of air pollutants. The quantile is decomposed as a linear combination of basis functions. The quantile regression method is used to demonstrate the spatial distribution of air pollutants in different months. A subset selection method of Lasso is used to choose a suitable subset of the basis functions and estimate corresponding parameters. This method is computationally efficient for large data sets.
    關聯: 第十屆海峽兩岸統計與概率研討會
    顯示於類別:[統計學系暨研究所] 會議論文

    文件中的檔案:

    沒有與此文件相關的檔案.

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋