Forecasting accuracy and system complexity

Spyros Makridakis

RAIRO - Operations Research - Recherche Opérationnelle (1995)

  • Volume: 29, Issue: 3, page 259-283
  • ISSN: 0399-0559

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Makridakis, Spyros. "Forecasting accuracy and system complexity." RAIRO - Operations Research - Recherche Opérationnelle 29.3 (1995): 259-283. <http://eudml.org/doc/105109>.

@article{Makridakis1995,
author = {Makridakis, Spyros},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
language = {eng},
number = {3},
pages = {259-283},
publisher = {EDP-Sciences},
title = {Forecasting accuracy and system complexity},
url = {http://eudml.org/doc/105109},
volume = {29},
year = {1995},
}

TY - JOUR
AU - Makridakis, Spyros
TI - Forecasting accuracy and system complexity
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 1995
PB - EDP-Sciences
VL - 29
IS - 3
SP - 259
EP - 283
LA - eng
UR - http://eudml.org/doc/105109
ER -

References

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  1. J. S. ARMSTRONG, Forecasting with Econometric Methods: Folklore versus Fact, Journal of Business, 1978Vol. 51, No. 4. 
  2. G. E. P. BOX and G. JENKINS, Time Series Analysis, Forecasting and Control, Holden-Day, San Francisco, 1970. Zbl0363.62069MR272138
  3. C. CHATFIELD, Calculating interval forecasts, Journal of Business and Economic Statistics, in press, 1993. 
  4. R. CLEMEN, Combining forecasts: A review and annotated bibliography with discussion, International Journal of Forecasting, 1989, Vol. 5, pp. 559-608. 
  5. K. O. COGGER, The optimality of general-order exponential smoothing, Operations Research, 1974, Vol. 22, pp. 858-867. Zbl0284.62063MR438623
  6. F. COLLOPY, and J. S. ARMSTRONG, Rule-based forecasting, Management Science, 1992, 38, pp. 1394-1414. 
  7. J.-C. DUPLESSY, and P. MOREL, Gros Temps sur la Planète, Editions Odile Jacob, Paris, 1990. 
  8. R. FERBER, Are correlations any guide to predictive value, Applied Statistics, 1956, Vol. 5, pp. 113-122. 
  9. R. FILDES, and S. MAKRIDAKIS, The Impact of Empirical Studies on Time Series Analysis and Forecasting, International Statistical Review, forthcoming, 1995. Zbl0960.62535
  10. R. FILDES, An evaluation of Bayesian forecasting, Journal of Forecasting, 1983, Vol. 2, pp. 137-150. 
  11. E. S., Jr., GARDNER and E. MCKENZIE, Forecasting trends in time series, Management Science, 1985, Vol. 31, pp. 1237-1246. Zbl0617.62105
  12. M. D. GEURTS, and J. P. KELLY, Forecasting retail sales using alternative models, International Journal of Forecasting, 1986, Vol. 2, pp. 261-272. 
  13. 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. 
  14. J. GLEICK, Chaos: Making a New Science, Viking, NewYork, 1987. Zbl0706.58002MR1010647
  15. 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. 
  16. 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. 
  17. 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. 
  18. 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. 
  19. 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. 
  20. 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. 
  21. S. MAKRIDAKIS, Sliding Simulation: A New Approach to Time Series Forecasting, Management Science, 1990, Vol. 36, pp. 505-512. 
  22. S. MAKRIDAKIS and R. L. WINKLER, Sampling distributions of post-sample forecasting errors, Applied Statistics, 1989, Vol. 38, pp. 331-342. Zbl0707.62193
  23. 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. 
  24. S. MAKRIDAKIS, The art and science of forecasting: an assessment and future directions, International Journal of Forecasting, 1986, Vol. 2, pp. 15-39. 
  25. 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. 
  26. 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. 
  27. R. MAY, Simple Mathematical Models with Very Complicated Dynamics, Nature, 1976, Vol. 261, pp. 459-467. Zbl0527.58025
  28. R. MAY, Biological Populations with Non-Overlapping Generations: Stable Points, Stable Cycles, and Chaos, Science, 1974, Vol. 186, pp. 645-647. 
  29. S. K. MCNEES, An Evaluation of Economic Forecasts, New England Economic Review, Nov-Dec, 1975. 
  30. D. C. MONTGOMERY and L. A. JOHNSON, Forecasting and Time Series Analysis, McGraw-Hill, New York, 1976. Zbl0411.62067
  31. 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. MR451583
  32. P. N. PANT and W. H. STARBUCK, Innocents in the forecast: forecasting and research methods, Journal of Management, 1990, Vol. 16, pp. 433-460. 
  33. I. PETERSON, Newton 's Clock: Chaos in the Solar System, W.H. Freeman and Company, New York, 1993. 
  34. 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. 
  35. D. J. REID, A comparative study of time series prediction techniques on economic data, Ph. D. Thesis, University of Nottingham, Nottingham, 1969. 
  36. S. P. SCHNAARS, A comparison of extrapolation models on yearly sales forecasts, International Journal of Forecasting, 1986, Vol. 2, pp. 71-85. 
  37. M. P. SCHUPACK, The predictive accuracy of empirical demand analysis, Economic Journal, 1962, Vol. 72, pp. 550-575. 
  38. E. SLUTSKY, The Summation of Random Causes as the Source of Cyclic Processes, Econometrica, 1937, Vol. 5, pp. 105-146. JFM63.1131.03
  39. M. W. WATSON, L. M. PASTUSZEK and E. CODY, Forecasting commercial electricity sales, Journal of Forecasting, 1987, Vol. 6, pp. 117-136. 
  40. A. S. WEIGEND, and N. A. GERSHENFELD, Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley Publishing Company, Reading, Mass, 1994. 

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