| Reference: | 中文部分
中華民國內政部統計資訊網，http://www.moi.gov.tw/W3/stat/ 。
中華民國臺灣95年至140年人口推計，行政院經濟建設委員會人力規劃處，http://www.cepd.gov.tw/index.jsp。
內政部(1949 ~ 2005)，中華民國台閩地區人口統計，內政部編印。
何正羽(2006), “高齡人口Gompertz死亡率推估模型的建構與應用”, 東吳大學商用數學系碩士論文。
余清祥與藍銘偉(2003),“台灣地區生育率模型之研究”, 人口學刊, Vol. 27, 105-131。
黃意萍與余清祥(2002),“台灣地區生育率模式的推估研究”, 人口學刊, Vol. 25, 145-171。
曾奕翔與余清祥(2002),“台灣地區死亡率推估的實證方法之研究”,中華民國人口
學年會學術研討會。
賴思帆與余清祥(2006),“台灣與各國生育率模型之實證與模擬比較”, 人口學刊, Vol. 33, 33-59。
英文部分
Alho, J.M. (1990b), “Stochastic Methods in Population Forecasting”. Int. J. Forecasting, Vol.6, 521-530.
Alho, J.M. (2002), “The Population of Finland in 2050 and Beyond”, The Research Institute of the Finnish Economy, Discussion Papers, No.826.
Alho, J., Alders, M., Cruijsen, H., Keliman, N., Nikander, T. and Pham. D.Q.(2006),“New Forecast: Population Decline Postponed in Europe”, Statistical Journal of the United Nations ECE, Vol.23, 1-10.
Alho, J.M. and Spencer, B.D. (1997), “The Practical Specification of the Expected Error of Population Forecasts”, Journal of Official Statistics, Vol.13(3), 203-225.
Alho, J.M. and Spencer, B.D. (2005), Statistical Demography and Forecasting, Springer, New York.
Armstrong, J.S. (2001), Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic Publishers, Boston.
Bongarrts, J. and G. Feeney(1998), “On the Quantum and Tempo of Fertility”, Population And Development Review, Vol.24(2), 271-291.
Bühlmann, P. (2002), “Bootstraps for Time Series”, Statistical Science, Vol. 17(1), 52-72.
Chatfield, C.(2000), Time-Series Forecasting, Chapman & Hall/CRC, New York.
Denton, F.T., Feaver, C.H. and Spencer, B.G. (2005), “Time Series Analysis and Stochastic Forecasting: An Econometric Study of Mortality and Life Expectancy”, Journal of Population Economics, Vol.18, 203-227.
Efron, B. (1979), “Bootstrap Method: Another Look at Jackknife”, Ann Statist, Vol. 7, 1-26.
Hall, P. (1985), “Resampling a Coverage Pattern”, Stochastic Processes Applications, Vol. 20, 231-246.
Human Mortality Database, http://www.mortality.org/.
Keilman, N., Pham, D.Q., and Hetland, A. (2002), “Why Population Forecasts should be Probabilistic - Illustrated by the Case of Norway”, Demographic Research, Vol. 6, 410-454.
Künsch, H.R. (1989), “The Jackknife and the Bootstrap for General Stationary Observations”, The Annuals of Statistics, Vol. 17, 1217-1261.
Lee R.D. (1974), “Forecasting Births in Post-Transition Populations: Stochastic Renewal with Serially Correlated Fertility”, Journal of American Statistical Association, Vol.69, 607-617.
Lee, R.D. (1998), “Probabilistic Approaches to Population Forecasting“, Population and Development Review, Vol. 24, Supplement : Frontiers of Population Forecasting. 156-190.
Lee, R.D. and Carter, L (1992), “Modeling and Forecasting U. S. Mortality”, Journal of the American Statistical Association, Vol. 87, 659-671.
Lee, R.D. and Tuljapurkar, S.(1994), “Stochastic Population Forecasts for the United States : Beyond High, Medium and Low “, Journal of the American Statistical Association, Vol. 89, 1175-1189.
Lee, R.D. and Miller, T. (2001), “Estimating the Performance of the Lee-Carter Method for Forecasting Mortality”, Demography, Vol.38, 537-549.
Long, J.F. and Hollmann, F.W. (2004), “Developing Official Stochastic Population Forecasts at the US Census Bureau”, International Statistical Review, Vol. 72(2), 201-208.
Lutz, W., Sanderson, W. and Scherbov, S. (1996), “Probabilistic Population Projections Based on Expert Opinion”, The Future Population of the World. What Can We Assume Today? ,Ed. W. Lutz, 397-428, Revised Edition, London, Earthscan.
Lutz, W., Saariluoma P., Sanderson, W. and Scherbov, S. (2000), “New Developments in the Methodology of Expert- and Argument-Based Probabilistic Forecasting” IIASA Interim Report, IR-00-020.
Lutz, W., Sanderson, W. and Scherbov, S. (2001), “The End of World Population Growth“, Nature, Vol. 412, 543-545.
Lutz, W., Sanderson, W. and Scherbov, S. (2004), “The End of World Population Growth“, The End of World Population Growth in the 21st Century, 17-83, London, Earthscan.
Lutz, W. and Scherbov, S. (1998), “An Expert-Based Framework for Probabilistic National Population Projections: The Example of Austria”, European Journal of Population, Vol. 14, 1-17.
Mammen, E. and Nandi, S. (2004), “Bootstrap and Resampling”, Handbook of Computational Statistics Concepts and Methods, Ed. Gentle, J. E., Härdle, W. and Mori, Y., 468-495, Springer, Heidelberg.
O`Neill, B.C., Balk, D., Brickman, M., and Ezra, M. (2001), “A Guide to Global Population Projections”, Demographic Research, Vol. 4, 203-288.
Politis, D.N. and Romano J.P. (1994), “The Stationary Bootstrap”, Journal of the American Statistical Association, Vol. 89, 1303-1313.
Sanderson, W.C., Scherbov, O’Neill, B.C. and S., Lutz, W. (2004), “Conditional Probabilistic Population Forecasting”, International Statistical Review, Vol. 72(2), 157-166.
Smith, S.K.(1997), “Further Thoughts on Simplicity and Complexity in Population Projection Models”, International Journal of Forecasting, Vol. 13, 557-565.
Stoto, M.A. (1983), “The Accuracy of Population Projections”, J.A.S.A., Vol. 78 (381), 13-20.
Tuljapurkar, S., Lee, R.D., and Li, Q. (2004), “Random Scenario Forecasts Versus Stochastic Forecasts”, International Statistical Review, Vol. 72(2), 185-199.
Whelpton, P.K. (1928), “Population of the United States, 1925 to 1975”, American Journal of Sociology, Vol. 34, 253-270.
Whelpton, P.K. (1954), “On Stationary Processes in the Plane”, Biometrika, Vol. 41, 434-449.
Wilson, T. and Rees, P. (2005), “Recent Developments in Population Projection Methodology : A Review”, Population, Space and Place, Vol. 11, 337-360. |
