Akaike, H. (1974), “A New Look at the Statistical Model Identification,” IEEE Transactions on Automatic Control, AC-19, 716–723.
Aldrin, M. and Damsleth, E. (1989), “Forecasting Non-seasonal Time Series with Missing Observations,” Journal of Forecasting, 8, 97–116.
Anderson, T. W. (1971), The Statistical Analysis of Time Series, New York: John Wiley & Sons.
Ansley, C. F. (1979), “An Algorithm for the Exact Likelihood of a Mixed Autoregressive–Moving Average Process,” Biometrika, 66, 59–65.
Ansley, C. F. and Newbold, P. (1980), “Finite Sample Properties of Estimators for Autoregressive Moving-Average Models,” Journal of Econometrics, 13, 159–183.
Archibald, B. C. (1990), “Parameter Space of the Holt-Winters’ Model,” International Journal of Forecasting, 6, 199–209.
Bartolomei, S. M. and Sweet, A. L. (1989), “A Note on the Comparison of Exponential Smoothing Methods for Forecasting Seasonal Series,” International Journal of Forecasting, 5, 111–116.
Bhansali, R. J. (1980), “Autoregressive and Window Estimates of the Inverse Correlation Function,” Biometrika, 67, 551–566.
Bowerman, B. L. and O’Connell, R. T. (1979), Time Series and Forecasting: An Applied Approach, North Scituate, MA: Duxbury Press.
Box, G. E. P. and Cox, D. R. (1964), “An Analysis of Transformations,” Journal of the Royal Statistical Society, Series B, 26, 211–234.
Box, G. E. P. and Jenkins, G. M. (1976), Time Series Analysis: Forecasting and Control, Rev. Edition, San Francisco: Holden-Day.
Box, G. E. P. and Tiao, G. C. (1975), “Intervention Analysis with Applications to Economic and Environmental Problems,” Journal of the American Statistical Association, 70, 70–79.
Brocklebank, J. C. and Dickey, D. A. (1986), SAS System for Forecasting Time Series, 1986 Edition, Cary, NC: SAS Institute Inc.
Brown, R. G. (1962), Smoothing, Forecasting, and Prediction of Discrete Time Series, New York: Prentice-Hall.
Brown, R. G. and Meyer, R. F. (1961), “The Fundamental Theorem of Exponential Smoothing,” Operations Research, 9, 673–685.
Chatfield, C. (1978), “The Holt-Winters Forecasting Procedure,” Applied Statistics, 27, 264–279.
Chatfield, C. and Prothero, D. L. (1973), “Box-Jenkins Seasonal Forecasting: Problems in a Case Study,” Journal of the Royal Statistical Society, Series A, 136, 295–315.
Chatfield, C. and Yar, M. (1988), “Holt-Winters Forecasting: Some Practical Issues,” The Statistician, 37, 129–140.
Chatfield, C. and Yar, M. (1991), “Prediction Intervals for Multiplicative Holt-Winters,” International Journal of Forecasting, 7, 31–37.
Cogger, K. O. (1974), “The Optimality of General-Order Exponential Smoothing,” Operations Research, 22, 858–867.
Cox, D. R. (1961), “Prediction by Exponentially Weighted Moving Averages and Related Methods,” Journal of the Royal Statistical Society, Series B, 23, 414–422.
Davidson, J. (1981), “Problems with the Estimation of Moving Average Models,” Journal of Econometrics, 16, 295.
Dickey, D. A. and Fuller, W. A. (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” Journal of the American Statistical Association, 74, 427–431.
Dickey, D. A., Hasza, D. P., and Fuller, W. A. (1984), “Testing for Unit Roots in Seasonal Time Series,” Journal of the American Statistical Association, 79, 355–367.
Fair, R. C. (1986), “Evaluating the Predictive Accuracy of Models,” in Z. Griliches and M. D. Intriligator, eds., Handbook of Econometrics, volume 3, New York: North-Holland.
Fildes, R. (1979), “Quantitative Forecasting—the State of the Art: Extrapolative Models,” Journal of Operational Research Society, 30, 691–710.
Fuller, W. A. (1976), Introduction to Statistical Time Series, New York: John Wiley & Sons.
Gardner, E. S., Jr. (1984), “The Strange Case of the Lagging Forecasts,” Interfaces, 14, 47–50.
Gardner, E. S., Jr. (1985), “Exponential Smoothing: The State of the Art,” Journal of Forecasting, 4, 1–38.
Granger, C. W. J. and Newbold, P. (1977), Forecasting Economic Time Series, New York: Academic Press.
Greene, W. H. (1993), Econometric Analysis, 2nd Edition, New York: Macmillan.
Hamilton, J. D. (1994), Time Series Analysis, Princeton, NJ: Princeton University Press.
Harvey, A. C. (1981), Time Series Models, New York: John Wiley & Sons.
Harvey, A. C. (1984), “A Unified View of Statistical Forecasting Procedures,” Journal of Forecasting, 3, 245–275.
Hopewood, W. S., McKeown, J. C., and Newbold, P. (1984), “Time Series Forecasting Models Involving Power Transformations,” Journal of Forecasting, 3, 57–61.
Jones, R. H. (1980), “Maximum Likelihood Fitting of ARMA Models to Time Series with Missing Observations,” Technometrics, 22, 389–396.
Judge, G. G., Griffiths, W. E., Hill, R. C., and Lee, T.-C. (1980), The Theory and Practice of Econometrics, New York: John Wiley & Sons.
Ledolter, J. and Abraham, B. (1984), “Some Comments on the Initialization of Exponential Smoothing,” Journal of Forecasting, 3, 79–84.
Ljung, G. M. and Box, G. E. P. (1978), “On a Measure of Lack of Fit in Time Series Models,” Biometrika, 65, 297–303.
Makridakis, S. G., Wheelwright, S. C., and McGee, V. E. (1983), Forecasting: Methods and Applications, 2nd Edition, New York: John Wiley & Sons.
McKenzie, E. (1984), “General Exponential Smoothing and the Equivalent ARMA Process,” Journal of Forecasting, 3, 333–344.
McKenzie, E. (1986), “Error Analysis for Winters’ Additive Seasonal Forecasting System,” International Journal of Forecasting, 2, 373–382.
Montgomery, D. C. and Johnson, L. A. (1976), Forecasting and Time Series Analysis, New York: McGraw-Hill.
Morf, M., Sidhu, G. S., and Kailath, T. (1974), “Some New Algorithms for Recursive Estimation on Constant Linear Discrete Time Systems,” IEEE Transactions on Automatic Control, 19, 315–323.
Nelson, C. R. (1973), Applied Time Series for Managerial Forecasting, San Francisco: Holden-Day.
Newbold, P. (1981), “Some Recent Developments in Time Series Analysis,” International Statistical Review, 49, 53–66.
Newton, H. J. and Pagano, M. (1983), “The Finite Memory Prediction of Covariance Stationary Time Series,” SIAM Journal on Scientific and Statistical Computing, 4, 330–339.
Pankratz, A. (1983), Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, New York: John Wiley & Sons.
Pankratz, A. (1991), Forecasting with Dynamic Regression Models, New York: John Wiley & Sons.
Pankratz, A. and Dudley, U. (1987), “Forecast of Power-Transformed Series,” Journal of Forecasting, 6, 239–248.
Pearlman, J. G. (1980), “An Algorithm for the Exact Likelihood of a High-Order Autoregressive–Moving Average Process,” Biometrika, 67, 232–233.
Priestley, M. B. (1981), Spectral Analysis and Time Series, London: Academic Press.
Roberts, S. A. (1982), “A General Class of Holt-Winters Type Forecasting Models,” Management Science, 28, 808–820.
Schwarz, G. (1978), “Estimating the Dimension of a Model,” Annals of Statistics, 6, 461–464.
Sweet, A. L. (1985), “Computing the Variance of the Forecast Error for the Holt-Winters Seasonal Models,” Journal of Forecasting, 4, 235–243.
Winters, P. R. (1960), “Forecasting Sales by Exponentially Weighted Moving Averages,” Management Science, 6, 324–342.
Woodfield, T. J. (1987), “Time Series Intervention Analysis Using SAS Software,” in Proceedings of the Twelfth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.
Yar, M. and Chatfield, C. (1990), “Prediction Intervals for the Holt-Winters Forecasting Procedure,” International Journal of Forecasting, 6, 127–137.