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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/89021
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/89021


    Title: 板橋地區空氣污染預測模式之探討
    Researching Forcast Model of Air Pollution at Pacho
    Authors: 藺超華
    Lian, Chau Hwa
    Contributors: 張健邦
    Jang, Jiahn Bang
    藺超華
    Lian,Chau Hwa
    Keywords: 集群分析
    區別分析
    預測
    多變量時間序列
    Cluster Analysis
    Discriminant Analysis
    Forecast
    Multivariate Time Series
    Date: 1993
    Issue Date: 2016-04-29 16:43:58 (UTC+8)
    Abstract: 由於近年來汽機車的成長率大增,□=>許多重大營建工程陸續開工,導致空氣污染日益嚴重,所以研究板橋地區一氧化氮濃度的預測模式。在本篇論文中,我們首先應用集群分析將一氧化氮依濃度區分成數個集群,而後運用區別分析診斷集群分析的結果是否合宜,最後找出集群內觀察值數目最多的那個集群,然後將多變量時間序列中經過差分一次後的自我相關模式應用在上面。目的是要尋求更精確的污染濃度預測值,以提供環保單位一些訊息以作參考。
    Reference: [1] 柳中明、盧開新, 1991 , "箱型光化模式之初步發展驗證與應用"大氣科學第十九期第一號
    [2] 鄭淳志, 1992 , "北桃地區懸浮微粒特性與污染源分析"國立台灣大學環境工程學研究所碩士論文
    [3] 廖中明、于迺文,王鼎盛, 1991 , "通風空間中二氧化碳濃度動態行動之隨機分析"中國統計學報第二十九卷第二期
    [4]鄒惠彬等, 1990 , "雨量及風速對空氣品質影響之非線性模式的探討"中國統計學報第二十八卷第一期
    [5]柯文雄、蔡清彥,王永壯, 1991 , "台北盆地空氣品質惡化期間之天氣類型分析"氣象學報第三十七卷第一期
    [ 6] 莊進源、林達雄,魏秀蘭, 1987 , "台北地區環境統計現況與展望"中國統計學報第二十五卷第六期
    [7] 余峰銳, 1987 , "台北松山區派出所轄區調整方案之研究"中國統計學報第二十五卷第九期
    [8]彭昭英, 1986 , SAS 與統計分析修定第三版,儒林出版社
    [9] 黃俊英, 1986 ,多變量分析第二版,華泰圖書文物公司
    [10] 教育部電算中心SCA 使用手冊

    [11] Thompson P.A. , etc` 1989 , WMultivariate Time Series Projections of Parameterized Age - Specific Fertility Rates" , JASA , Vol 84 , No 407
    [12] Cover,T.M. and Hart,P.E. , 1967 , "Nearest Neighkor Pattern Classification" , IEEE
    Transaction on Information Theory , IT - 13 , 21 - 27
    [13] Johnson,R.A. and vVichern,D.W. , 1992 , Applied Multivariate Statistical Analysis,
    3nd : Prentice - Hall International Editions
    [14] Kageo Akizuki and Kiyoshi Ebizuka , "Prediction of Air Pollution Based Observed
    Data"
    [15]Sebar,G.A.F., 1982, Multivariate Observation, New York:John Willy
    [16]Ward,J.H.,1963,”Herarchical Grouping to Optimize and Objective Function JASA.58,236-244.
    [17]Osami Saito and Hieroshi Takeda, “Prediction Model of Air Pollution Adapted to Pattern of Daily Fluctuation”
    [18]Gover,J.C.,1967,”A Comparision of Some Methods of Cluster Analysis”, Biometrics, 23.623-637.
    [19]SAS/STAT, 1988
    [20]Calinski, T. and Harabasz,J. 1974, “A Dendrite Method for Cluster Analysis”: Communications in Statistics,3, 1-27
    [21] Duta, R.O.and Hart.P.E.,1973,Pattern Classification and Scene Analysis, New York:John Willy & Sons,Inc
    [22]Sarle, W.S ,1983,Cubic Clustering Criterion, SAS Technical Report A -108, Cary, NC. SAS Institute Inc.
    [23]Lachebrush, P.A. and Mickey M.R., 1968, “Estimation of Error Rates in Discriminant Analysis”, Technometric, 10, No1, 1-11.
    [24]Willy,W.S., 1989, Time Series Analysis:Addison –Wesley Publishing Company, Inc.
    [25]SAS/IML,1988
    [26]Paplo Zannetti,etc,”Time Series Analysis of Venice Air Qualoty Data”
    [27]Tiao,G.C.and Box,G.E.P.,1981,”Modeling Multiple Time Series with Applications”,JASA, 76,802-816.
    [28]Tokumaru,H. and Habata, O. , “Statistical Prediction of Air Pollution levels by Mixed Order Multi-Variable AR Scheme”
    Description: 碩士
    國立政治大學
    統計學系
    G80354010
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002004196
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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