Free Access
RAIRO-Oper. Res.
Volume 29, Number 3, 1995
Special Issue on Complexity and Industrial Systems
Page(s) 259 - 283
Published online 07 February 2017
  • J. S. ARMSTRONG, Forecasting with Econometric Methods: Folklore versus Fact, Journal of Business, 1978Vol. 51, No. 4. [Google Scholar]
  • G. E. P. BOX and G. JENKINS, Time Series Analysis, Forecasting and Control, Holden-Day, San Francisco, 1970. [MR: 272138] [Zbl: 0363.62069] [Google Scholar]
  • C. CHATFIELD, Calculating interval forecasts, Journal of Business and Economic Statistics, in press, 1993. [Google Scholar]
  • R. CLEMEN, Combining forecasts: A review and annotated bibliography with discussion, International Journal of Forecasting, 1989, Vol. 5, pp. 559-608. [Google Scholar]
  • K. O. COGGER, The optimality of general-order exponential smoothing, Operations Research, 1974, Vol. 22, pp. 858-867. [MR: 438623] [Zbl: 0284.62063] [Google Scholar]
  • F. COLLOPY, and J. S. ARMSTRONG, Rule-based forecasting, Management Science, 1992, 38, pp. 1394-1414. [Google Scholar]
  • J.-C. DUPLESSY, and P. MOREL, Gros Temps sur la Planète, Editions Odile Jacob, Paris, 1990. [Google Scholar]
  • R. FERBER, Are correlations any guide to predictive value, Applied Statistics, 1956, Vol. 5, pp. 113-122. [Google Scholar]
  • R. FILDES, and S. MAKRIDAKIS, The Impact of Empirical Studies on Time Series Analysis and Forecasting, International Statistical Review, forthcoming, 1995. [Zbl: 0960.62535] [Google Scholar]
  • R. FILDES, An evaluation of Bayesian forecasting, Journal of Forecasting, 1983, Vol. 2, pp. 137-150. [Google Scholar]
  • E. S., Jr., GARDNER and E. MCKENZIE, Forecasting trends in time series, Management Science, 1985, Vol. 31, pp. 1237-1246. [Zbl: 0617.62105] [Google Scholar]
  • M. D. GEURTS, and J. P. KELLY, Forecasting retail sales using alternative models, International Journal of Forecasting, 1986, Vol. 2, pp. 261-272. [Google Scholar]
  • J. GUIOT, J. L. de BEAULIEU, A. PONS and M. REILLE, A 140,000 year climatic reconstruction from two european pollen records, Nature, 1989, Vol. 338, pp. 309-313. [Google Scholar]
  • J. GLEICK, Chaos: Making a New Science, Viking, NewYork, 1987. [MR: 1010647] [Zbl: 0706.58002] [Google Scholar]
  • W. R. HUSS, Comparative analysis of company forecasts and advanced time series techniques in the electric utility industry, International Journal of Forecasting, 1985, Vol. 1, pp. 217-239. [Google Scholar]
  • J. JOUZEL, C. LORIUS, J. R. PETIT, C. GENTHON, N. I. BARGOV, V. M. KOTLYAKOV and V. M. PETROV, Vostok Ice Core: A continuous isotope temperature over the last climatic cycle (160 000 years), Nature, 1987, Vol. 329, pp. 403-408. [Google Scholar]
  • A. B. KOEHLER and E. S. MURPHREE, A comparison of results from state space forecasting with forecasts from the Makridakis Competition, International Journal of Forecasting, 1988, Vol. 4, pp. 45-55. [Google Scholar]
  • E. LORENZ, Large-Scale Motions of the Atmosphere: Circulation, in Advances in Earth Science, in Hurley, P. M. (ed), The MIT Press, Cambridge, Mass, 1966. [Google Scholar]
  • E. J. LUSK and J. S. NEVES, A comparative ARIMA analysis of the 111 series of the Makridakis competition, Journal of Forecasting, 1984, Vol. 3, pp. 329-332. [Google Scholar]
  • S. MAKRIDAKIS, C. CHATFIELD, M. HIBON, M. LAWRENCE, T. MILLS, K. ORD and L. F. SIMMONS, The M-2 Competition: A real-life judgmentally based forecasting study, International Journal of Forecasting, 1993, Vol. 9, pp. 5-29. [Google Scholar]
  • S. MAKRIDAKIS, Sliding Simulation: A New Approach to Time Series Forecasting, Management Science, 1990, Vol. 36, pp. 505-512. [Google Scholar]
  • S. MAKRIDAKIS and R. L. WINKLER, Sampling distributions of post-sample forecasting errors, Applied Statistics, 1989, Vol. 38, pp. 331-342. [Zbl: 0707.62193] [Google Scholar]
  • S. MAKRIDAKIS, M. HIBON E. LUSK and M. BELHADJALI, Confidence intervals: an empirical investigation of the series in the M-competition, International Journal of Forecasting, 1987, Vol. 3, pp. 489-508. [Google Scholar]
  • S. MAKRIDAKIS, The art and science of forecasting: an assessment and future directions, International Journal of Forecasting, 1986, Vol. 2, pp. 15-39. [Google Scholar]
  • S. MAKRIDAKIS, A. ANDERSEN, R. CARBONE, R. FILDES, M. HIBON, R. LEWANDOWSKI, J. NEWTON, P. PARZEN and R. WINKLER, The accuracy of extrapolation (time series) methods: Results of a forecasting competition, Journal of Forecasting, 1982, Vol. 1, pp. 111-153. [Google Scholar]
  • S. MAKRIDAKIS and M. HIBON, Accuracy of Forecasting: an empirical investigation with discussion, Journal of the Royal Statistical Society (A), 1979, Vol. 142, pp. 97-145. [Google Scholar]
  • R. MAY, Simple Mathematical Models with Very Complicated Dynamics, Nature, 1976, Vol. 261, pp. 459-467. [Zbl: 0527.58025] [Google Scholar]
  • R. MAY, Biological Populations with Non-Overlapping Generations: Stable Points, Stable Cycles, and Chaos, Science, 1974, Vol. 186, pp. 645-647. [Google Scholar]
  • S. K. MCNEES, An Evaluation of Economic Forecasts, New England Economic Review, Nov-Dec, 1975. [Google Scholar]
  • D. C. MONTGOMERY and L. A. JOHNSON, Forecasting and Time Series Analysis, McGraw-Hill, New York, 1976. [Zbl: 0411.62067] [Google Scholar]
  • P. NEWBOLD and C. W. J. GRANGER, Experience with forecasting univariate time-series and the combination of forecasts with discussion, Journal of the Royal Statistical Society (A), 1974, Vol. 137, pp. 131-165. [MR: 451583] [Google Scholar]
  • P. N. PANT and W. H. STARBUCK, Innocents in the forecast: forecasting and research methods, Journal of Management, 1990, Vol. 16, pp. 433-460. [Google Scholar]
  • I. PETERSON, Newton 's Clock: Chaos in the Solar System, W.H. Freeman and Company, New York, 1993. [Google Scholar]
  • M. B. PRIESTLEY, Comment on Makridakis, Spyros, Hibon, Michèle, Accuracy of forecasting: an empirical investigation with discussion, Journal of the Royal Statistical Society (A), 1979, Vol. 142, pp. 127-128. [Google Scholar]
  • D. J. REID, A comparative study of time series prediction techniques on economic data, Ph. D. Thesis, University of Nottingham, Nottingham, 1969. [Google Scholar]
  • S. P. SCHNAARS, A comparison of extrapolation models on yearly sales forecasts, International Journal of Forecasting, 1986, Vol. 2, pp. 71-85. [Google Scholar]
  • M. P. SCHUPACK, The predictive accuracy of empirical demand analysis, Economic Journal, 1962, Vol. 72, pp. 550-575. [Google Scholar]
  • E. SLUTSKY, The Summation of Random Causes as the Source of Cyclic Processes, Econometrica, 1937, Vol. 5, pp. 105-146. [JFM: 63.1131.03] [Google Scholar]
  • M. W. WATSON, L. M. PASTUSZEK and E. CODY, Forecasting commercial electricity sales, Journal of Forecasting, 1987, Vol. 6, pp. 117-136. [Google Scholar]
  • A. S. WEIGEND, and N. A. GERSHENFELD, Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley Publishing Company, Reading, Mass, 1994. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.