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題名:東南亞金融風暴(97-98)之時空數列分析探討
書刊名:亞太管理評論
作者:溫福星 引用關係陳隆麒吳柏林
作者(外文):Wen, Fur-hsingChen, Long-chiWu, Berlin
出版日期:2000
卷期:5:3
頁次:頁331-345
主題關鍵詞:金融風暴金融地圖匯率擴散函數時空數列模式Financial crisisFinancial mapExchange rate diffusion functionSpatial time series
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:3
  • 共同引用共同引用:2
  • 點閱點閱:27
期刊論文
1.吳柏林、廖敏治(19930900)。大臺北都會區空氣污染指標之時空數列分析。中國統計學報,31(2),139-167。new window  延伸查詢new window
2.吳柏林、陳雅玫(19931200)。臺灣地區失業率的時空數列分析與預測。人力資源學報,3,1-34。  延伸查詢new window
3.吳柏林、譚光榮(19951200)。時空數列分析在蔬菜價格變動與產銷策略之研究。國立編譯館館刊,24(2),311-331。  延伸查詢new window
4.Besag, J.(1974)。Spatial interaction and the statistical analysis of lattice system。Journal of the Royal Statistical Society. Series B,36(2),192-225。  new window
5.Deutsh, S. J.、Pfeifer, P. E.(1980)。A threestage iterative procedure for space-time modeling。Technometrics,22,35-47。  new window
6.Deutsh, S. J.、Ramos, J. A.(1987)。Spacetime ARMA modeling of vector hydrologic sequences。Water Resource Bulletin,22(6),967-981。  new window
7.Martin, R. T.、Oeppen, J. E.(1975)。The identification of regional forecasting models using space-time correction functions。Transactions of the Institute of British Geographers,66,95-118。  new window
8.Reynolds, K. M.、Madden, L. V.、Ellis, M. A.(1988)。Spatio-temporal analysis of epidemic development of lather of strawberry。Phytopathology,78,240-245。  new window
9.Stoffer, D. S.(1986)。Estimation and identification of space-time ARMAX models in the present of missing data。Journal of the American Statistical Association,81,762-772。  new window
圖書
1.沈中華(1998)。貨幣銀行學。台北:新陸書局。  延伸查詢new window
2.Meen, G. P.(1995)。Spatial aggregation, spatial dependence and predictability in the UK housing market。University of Reading. Department of Economics。  new window
3.Roehner, Bertrand M.(1995)。Theory of Markets。Berlin:Springer-Verlag。  new window
4.Box, G. E. P.、Jenkins, G. M.、Reinsel, G. C.(1976)。Time Series Analysis: Forecasting and Control。San Francisco:Holden-Day。  new window
圖書論文
1.Aroian, L. A.(1985)。Time series in M dimensions: past, present, and future。Time Series Analysis: Theory and Practice。Amsterdam:North-Holland。  new window
 
 
 
 
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