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題名:關稅稅收預測模式之比較研究
書刊名:臺灣銀行季刊
作者:曾永清 引用關係
出版日期:1990
卷期:41:2
頁次:頁68-104
主題關鍵詞:稅收預測模式關稅
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(1) 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:1
  • 共同引用共同引用:15
  • 點閱點閱:6
期刊論文
1.Granger, C. W. J.、Newbold, P.(1973)。Some Comments on the Evaluation of Economic Forecasts。Applied Economics,5,35-47。  new window
2.鍾世保(19760800)。我國賦稅收入短期預測之研究。中國統計學報,14(3),65-72。new window  延伸查詢new window
3.Mahmoud, E.(1984)。Accuracy in forecasting: A survey。Journal of Forecasting,3(2),139-159。  new window
4.鍾世保(19771100)。我國賦稅收入半年預測模型之研究。中國統計學報,15(4),5745-5760。new window  延伸查詢new window
5.Zellner, A.(1962)。An Efficient Method of Estimation Seemingly Unrelated Regressions and Tests for Aggregation Bias。Journal of the American Statistical Association,57(298),348-368。  new window
6.林華德(19781100)。臺灣賦稅收入的預測。經濟論文叢刊,8,41-90。new window  延伸查詢new window
7.李慶泉(19760800)。我國稅收估測方法之研究。稅務旬刊,895,3-6。  延伸查詢new window
8.吳江胡(1986)。臺灣肉雞產量之預測。臺灣經濟,109。  延伸查詢new window
9.劉鶯釧(19820500)。多元時間數列分析法之介紹與應用。經濟論文叢刊,10,191-210。new window  延伸查詢new window
10.劉鶯釧(19840500)。單一方程迴歸與時間數列分析。經濟論文叢刊,12,131-144。new window  延伸查詢new window
11.Chambers, John C.、Mullick, Satinder K.、Smith, Donald D.(1971)。How to Choose the Right Forecasting Technique。Harvard Business Review,49,55-64。  new window
12.Granger, C. W. J.(1966)。The Typical Spectral Shape of an Economic Variables。Econometrica,34(1),150-161。  new window
13.Holden, K.、Peel, D. A.(1986)。An Empirical Investigation of Combinations of Economic Forecasts。Journal of Forecasting,5(4),229-242。  new window
14.Koreisha, S. G.(1983)。Causal Implications: The Linkage Between Time Series and Econometric Modelling。Journal of Forecasting,2,151-168。  new window
15.Mckenzie, E.(1984)。General Exponential Smoothing and Equivalent ARMA Process。Journal of Forecasting,3,333-344。  new window
16.Newbold, P.(1983)。ARIMA Model Building and the Time Series Analysis Approach to Forecasting。Journal of Forecasting,2,23-35。  new window
17.Box, George E. P.、Pierce, David A.(1970)。Distribution of Residual Autocorrelations in Autoregressive Integrated Moving Average Time Series Models。Journal of American Statistical Association,65(332),1509-1526。  new window
18.江振南(19730300)。政府財政收入預測。經濟論文,1(1),143-166。new window  延伸查詢new window
學位論文
1.凌忠嫄(1984)。我國賦稅收入迴歸分析之研究(碩士論文)。國立政治大學。  延伸查詢new window
2.李川源(1979)。臺灣地區所得稅收之預測(碩士論文)。國立交通大學。  延伸查詢new window
3.黃傳欽(1984)。臺灣毛豬供給預測模式之研究(博士論文)。國立中興大學。new window  延伸查詢new window
4.蔡招榮(1979)。臺灣財產稅月稅收預測隨機時間序列之應用(碩士論文)。國立交通大學。  延伸查詢new window
5.魏宗參(1979)。臺灣消費稅稅收之短期預測(碩士論文)。國立交通大學。  延伸查詢new window
6.Kao, An-Pang(1986)。The Forecasting Performance of Alternative Technique(博士論文)。University of Massachusetts。  new window
圖書
1.Theil, Henri(1966)。Applied Economic Forecasting。Amsterdam:North-Holland Publishing Co.。  new window
2.Brown, R. G.(1962)。Smoothing, Forecasting and Prediction of Discrete Time Series。Englewood Cliffs, New Jersey:Prentice-Hall。  new window
3.Pindyck, Robert S.、Rubinfeld, D. L.(1976)。Econometric Models and Economic Forecasts。New York:McGraw-Hill。  new window
4.Whittle, P.。Prediction arid Regulation by Linear Least-Square Methods。Princeton, New Jersey。  new window
5.楊華勝(1977)。計量經濟學。臺北:星橋出版公司。  延伸查詢new window
6.Fulle, W. A.(1978)。Introduction to Statistical Time Series。臺北:華泰書局。  new window
7.Brown, R. G.(1959)。Statistical Forecasting for Inventory Control。New York:McGraw-Hill Book Co.。  new window
8.Jenkins, G. M.、Watts, D. G.(1968)。Spectral Analysis and its Application。San Francisco, California:Holden-Day。  new window
9.Montgomery, D. C.、Johnson, L. A.(1976)。Forecasting and Time Series Analysis。New York:McGraw-Hill Book Co.。  new window
10.Nelson, Charles R.(1973)。Applied Time Series Analysis for Managerial Forecasting。San Francisco, California:Holden-Day, Inc.。  new window
11.Sargent, Thomas J.(1979)。Macroeconomic Theory。Academic Press。  new window
12.Box, George E. P.、Jenkins, Gwilym M.(1970)。Time Series Analysis: Forecasting and Control。Holden-Day。  new window
圖書論文
1.Plate, R. B.(1974)。Statistical Measures of Forecast Accuracy。Methods and Techniques of Business Forecasting。New Jersey:Prentice-Hall。  new window
 
 
 
 
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