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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/89757


    Title: 大台北都會區空氣污染指標之時空數列分析
    Authors: 廖敏治
    LIAO, MIN-ZHI
    Contributors: 吳柏林
    廖敏治
    LIAO, MIN-ZHI
    Keywords: 時空數列
    STARMA模式
    空氣污染指標值(PSI)
    Date: 1992
    1991
    Issue Date: 2016-05-02 17:07:15 (UTC+8)
    Abstract: 摘要
    Reference: 中文部份
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    行政院環境保護署。(1987-1991) 。中華民國環境保護統計月報。台北:行政院環境保護署。
    呂世宗。(1988) 。大都會星空氣品質污染潛勢預測之研究。第一階段:台北地區，國立中央大學大氣物理系研究報告。
    行政院環境保護署。(1989) 。中華民國臺灣地區環境資訊。台北:行政院環境保護署。
    行政院環境保護署。(1990) 。臺灣地區空氣品質監測現況報告。台北:行政院環境保護署。
    李清勝、陳泰然和俞家忠。( 1990) 。即時氣象資料應用在空氣污染分析之研究與實驗。期中報告，台北:行政院環境保護署。
    蔡俊鴻。(1990) 。空氣品質監測與微尺度氣象觀測之區成代表性檢討。期中報告，台北:行政院環境保護署。
    鄒惠斌、羅夢娜和黃妙冠。(1990) 。雨量及風迷對空氣品質影響之非線性模式的探討。中國統計月報，第28卷，第一期。
    陳得均、季延安和林肇信。(1991) 。大氣污染化學，五版。科技圖書及份限公司。

    英文部份
    Aroian. L.A.(1985). `Time series in M dimensions: past present, and fuure`,in O. D. Anderson, J. K. Ord and E. A. Robinson(eds), Time Series Analysis: Theory and Practice, 6, Amsterdam: North-Holland.
    Bennet, RJ. (1975). `The representation and identification of spatiotemporal systems: an example of popukation diffusion in North-West England`, Trans. In st. British Geographer, 66,73-94.
    Bennet, R. J. (1979). Spatial Time Series. Pion Limited, London.Besag,J.S. (1974). Spatial Interaction and the Statistical Analysis of Lattice Systems. Journal of the Royal Statistical Society, Ser. B, 36, 197-242.
    BoxG. E. P. and Jinkins,G. M. (1976). Time series Analysis Forecasting and Control, 2nd ed., Hoiden-Day, San Francisco.
    Cliff,A. D. and Ord,J. K.(1973). Spatial Autocorrelation. London Pioneer.
    Cliff,A. D., Haggett, P. Ord,J.K., Bassett, K. A. andDaries, R.B. (1975) Elements of Spatial Structure: A Quantitative Approach. New York :Combride University press.
    Cliff,A. D. and Ord,J. K.(1975). Space-Time Modeling with an Application to Regional Forecasting. Trans.Inst. British Geographer, 66,119-128.
    Cliff, A. D., and Ord, J. K.(1981). Spatial Processes and Models and Applications.
    Pions Limited, London.
    Deutsch, SJ.and Ramos, J.A.(1987). Space-Time Modeling of Vector Hydrologic Sequences. Water Resources Bulletin, 22, 967-981.
    Kosko,B. (1992). NeuralNetworks for Signal Processing. Prentice Hall,Englewood Cliffs, NJ.
    Lee, K. Y. , Cha, Y. T. and Part ,J.H. (1991). Short-tenn LoadForecasting Using an Artificial Neural Network; , IEEE Winter Power Meeting.
    Marquardt,D. W. (1963). Algorithm for Least Squares Estimation of Non-linear Parameters. 1. Soc. and APPUED Math.,11, 431-41.
    Martin, R. E. and Oeppen,J.E. (1975). The Identification of Regional Forecasting
    Models Using Space-Time Correlation Function. Trans. Inst.British Geographers,66, 95-118.
    Park, D. C. El-sharkawi, M. A., Marks, R. J. , Atlas, L. E. and Damborg, m. j. (1991). Electric Load Forecasting Using an Artificial Neural Network.IEEE Winter Power Meeting.
    Perry, R. and Aroian, L.A. (1979). Of Time and the River: Time Series in M Dimension, the One-Dimension Autoregressive Model.
    Proceedings of the American Statistical Association, Statistical Computing Section.
    Phillip E. Pfeifer. (1979). Spatial-DyamicModeling. Georgia Institute of Technology.
    Phillip E. Pfeifer and Stuart Jay Deudsch. (1980a). A Three-Stage Iterative Process for Space-Time Modeling. Technometrics, 22, 35-47.
    Phillip E. Pfeifer and Stuart Jay Deudsch. (1980b). Identification and Interpretation
    of First Order Space-Time ARMA Modeling. Technometrics,22, 397-408.
    PhillipE. Pfeifer and Stuart Jay Deudsch. (!981). Seasonal Space-Time Modeling. Geographical Analysis, 13, 117-133.
    Phillip E. Pfeiffer and Samuel E. Bodily. (1990). A Test of Space-Time ARMA Modeling and Forecasting of Hotel Data. Journal of Forecasting,9, 225-272.
    Rame, J. (1989). Neural Computing. l. Neural Ware, Inc. Pittsburgh.
    Reylonds, K. M. and Madden, L. V. (1988). Analysis of Epidemics Using
    Spatio-Temporal autocorrelation. Phytopathology, 78,240-245.
    Stoffer, D. S. (1986). Estimation and Identification of Space -Time ARMAX
    Models in the Presence of Missing Data. Journal of the American Statistical Association, 81, 246-52.
    Stuart Jay Deutsch and Phillip E. Pfiffer. (1981). Space-time ARMA Modeling with Cotemporaneously Correlated Innovaaations. Technometrics,23, 401-409
    Tinline, R. (1971). Linear Operators in Diffusion Research. in M. D. I. Chisolm, et al. (eds), Regional Forecasting, London: Butterworths.
    Tobler, W. R. (1969). Geographical Filters and Their Inverses. Geo graphical
    Analysis, 1, 234-53.
    Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46, 234-40.
    Description: 碩士
    國立政治大學
    應用數學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002004733
    Data Type: thesis
    Appears in Collections:[Department of Mathematical Sciences] Theses

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