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Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series. (2005). Armstrong, J..
In: General Economics and Teaching.
RePEc:wpa:wuwpgt:0502015.

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Cited: 6

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Cites: 14

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Cocites: 50

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  1. Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports. (2018). Huang, Anqiang ; Zhang, Zhenji ; Wang, Shouyang ; Qiao, Han ; Lai, Kin Keung.
    In: International Journal of Information Technology & Decision Making (IJITDM).
    RePEc:wsi:ijitdm:v:17:y:2018:i:02:n:s0219622017500456.

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  2. Perspectiva multivariante de los pronósticos en las pymes industriales de Ibagué (Colombia). (2017). Guerrero, German Rubio .
    In: REVISTA FACULTAD DE CIENCIAS ECONÓMICAS.
    RePEc:col:000180:015748.

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  3. Golden rule of forecasting: Be conservative. (2015). Green, Kesten ; Armstrong, J. ; Graefe, Andreas.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:68:y:2015:i:8:p:1717-1731.

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  4. Golden Rule of Forecasting: Be conservative. (2014). Green, Kesten ; Armstrong, J. ; Graefe, Andreas.
    In: MPRA Paper.
    RePEc:pra:mprapa:53579.

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  5. A Comparative Analysis of Short Time Series Processing Methods. (2012). Arnis, Kirshners ; Arkady, Borisov .
    In: Information Technology and Management Science.
    RePEc:vrs:itmasc:v:15:y:2012:i:1:p:65-69:n:9.

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  6. Findings from evidence-based forecasting: Methods for reducing forecast error. (2006). Armstrong, J..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:3:p:583-598.

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References

References cited by this document

  1. Armstrong, J. S. (2001), Principles of Forecasting. Boston: Kluwer Academic Publishers.
    Paper not yet in RePEc: Add citation now

  2. Armstrong, J. S. and F. Collopy (1992), Error measures for generalizing about forecasting methods: Empirical comparisons, International Journal of Forecasting, 8, 69-80.

  3. Armstrong, J. S. and F. Collopy (1993), Causal forces: Structuring knowledge for time-series extrapolation, Journal of Forecasting, 12, 103-115.

  4. Armstrong, J. S. and F. Collopy (1998), Integration of statistical methods and judgment for time series forecasting: Principles from empirical research, in G. Wright and P. Goodwin (eds.), Forecasting with Judgment. Chichester: John Wiley, pp. 269-293.

  5. Armstrong, J. S. and F. Collopy (2001), Identification of asymmetric prediction intervals through causal forces, Journal of Forecasting, 20, 273-283.

  6. Berndt, E. and N. Rappaport (2001), Price and quality of desktop and mobile personal computers: A quartercentury historical overview, American Economic Association Papers and Proceedings, 91, 2, 268-273.

  7. Broughton, J. (1991), Forecasting road accident casualties in Great Britain, Accident Analysis and Prevention, 5, 353-362.
    Paper not yet in RePEc: Add citation now

  8. Collopy, F. and J. S. Armstrong (1992), Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations, Management Science, 38, 1394-1414.

  9. Holt. C. F., F. Modigliani, J. F. Muth and H. Simon (1960), Planning Production, Inventories, and Work Force. Englewood Cliffs, N. J.: Prentice Hall.
    Paper not yet in RePEc: Add citation now
  10. MacGregor, D. G. (2001), Decomposition for judgmental forecasting and estimation, in J. S. Armstrong (ed.), Principles of Forecasting. Boston: Kluwer Academic Publishers.
    Paper not yet in RePEc: Add citation now
  11. Mathews, B. P. and A. Diamantopoulos (1990), Judgmental revision of sales forecasts: Effectiveness of forecast selection, Journal of Forecasting, 9, 407-415.
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  12. Rosenthal, R. (1978), Combining results of independent studies, Psychological Bulletin, 85, 185-193.
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  13. Sanders, N. and L. Ritzman (2001), Judgmental adjustment of statistical forecasts, in J. S. Armstrong (ed.), Principles of Forecasting. Boston: Kluwer Academic Publishers, pp. 405-416.
    Paper not yet in RePEc: Add citation now
  14. Shiskin, J. (1958), Decomposition of economic time series, Science, 128, 1539-1546.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Golden Rule of Forecasting: Be conservative. (2014). Green, Kesten ; Armstrong, J. ; Graefe, Andreas.
    In: MPRA Paper.
    RePEc:pra:mprapa:53579.

    Full description at Econpapers || Download paper

  2. The Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users: An Experimental Analysis. (2012). Krcmar, Helmut ; Riedl, Christoph ; Koroglu, Orhan ; Fuller, Johann ; Leimeister, Jan Marco ; Blohm, Ivo .
    In: Papers.
    RePEc:arx:papers:1204.3457.

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  3. Modeling Repeat Purchases in the Internet when RFM Captures Past Influence of Marketing. (2011). Albers, Sönke ; Reimer, Kerstin .
    In: EconStor Preprints.
    RePEc:zbw:esprep:50730.

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  4. Precios de exportación de gas natural para Bolivia: Modelación y pooling de pronósticos. (2011). Valdivia, Daney ; Aguilar, Ruben .
    In: MPRA Paper.
    RePEc:pra:mprapa:35485.

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  5. An online estimation scheme for a Hull–White model with HMM-driven parameters. (2009). Mamon, Rogemar ; Erlwein, Christina.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:18:y:2009:i:1:p:87-107.

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  6. Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series. (2009). Ren, Louie ; Glasure, Yong .
    In: International Advances in Economic Research.
    RePEc:kap:iaecre:v:15:y:2009:i:4:p:409-420.

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  7. Forecasting international bandwidth capacity using linear and ANN methods. (2008). Madden, Gary ; Tan, Joachim .
    In: MPRA Paper.
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  8. Integration, Kointegration und die Langzeitprognose von Kreditausfallzyklen. (2007). Wagatha, Matthias.
    In: MPRA Paper.
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  9. Forecasting telecommunications data with linear models. (2007). Madden, Gary ; Tan, Joachim .
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  10. Optimal forecasting model selection and data characteristics. (2007). Madden, Gary ; Fildes, Robert ; Tan, Joachim .
    In: MPRA Paper.
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  11. Does Age Structure Forecast Economic Growth?. (2007). Seminerio, Juliana ; Finlay, Jocelyn ; Fink, Günther ; canning, david ; Bloom, David.
    In: NBER Working Papers.
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  12. Population forecast accuracy: does the choice of summary measure of error matter?. (2007). Rayer, Stefan .
    In: Population Research and Policy Review.
    RePEc:kap:poprpr:v:26:y:2007:i:2:p:163-184.

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  13. Electricity rationing and public response. (2007). Souza, Leonardo ; Soares, Lacir Jorge.
    In: Energy Economics.
    RePEc:eee:eneeco:v:29:y:2007:i:2:p:296-311.

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  14. Recursive Thick Modeling and the Choice of Monetary Policy in Mexico.. (2007). Rodriguez, Arnulfo .
    In: Working Papers.
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  15. HOW ACCURATE ARE THE SWEDISH FORECASTERS ON GDP-GROWTH,CPI- INFLATION AND UNEMPLOYMENT? (1993-2001). (2005). Barot, Bharat.
    In: Macroeconomics.
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  16. Forecasting for Marketing. (2005). Armstrong, J. ; Brodie, R..
    In: General Economics and Teaching.
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  17. Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series. (2005). Armstrong, J..
    In: General Economics and Teaching.
    RePEc:wpa:wuwpgt:0502015.

    Full description at Econpapers || Download paper

  18. 25 Years of IIF Time Series Forecasting: A Selective Review. (2005). Hyndman, Rob ; De Gooijer, Jan G..
    In: Tinbergen Institute Discussion Papers.
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  19. Forecasting international bandwidth capability. (2005). Madden, Gary ; Coble-Neal, Grant .
    In: MPRA Paper.
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  20. Demand Forecasting: Evidence-based Methods. (2005). Green, Kesten ; Armstrong, J..
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2005-24.

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  21. Another Look at Measures of Forecast Accuracy. (2005). Hyndman, Rob ; Koehler, Anne B..
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2005-13.

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  22. Una evaluación de los pronósticos de inflación en Colombia bajo el esquema de inflación objetivo. (2005). Nuñez, Hector ; NUÑEZ AMORTEGUI, Hector Mauricio, .
    In: REVISTA DE ECONOMÍA DEL ROSARIO.
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  23. Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations. (2004). Armstrong, J. ; Collopy, Fred .
    In: General Economics and Teaching.
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  24. Causal Forces: Structuring Knowledge for Time-series Extrapolation. (2004). Armstrong, J. ; Collopy, Fred .
    In: General Economics and Teaching.
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  25. Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods. (2004). Armstrong, J. ; Fildes, Robert.
    In: General Economics and Teaching.
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  26. Internet traffic dynamics. (2004). Madden, Gary ; Coble-Neal, Grant .
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  27. Demographically based global income forecasts up to the year 2050. (2004). Lindh, Thomas ; Malmberg, BO.
    In: Arbetsrapport.
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  28. Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil. (2003). Souza, Leonardo ; Soares, Lacir Jorge.
    In: FGV/EPGE Economics Working Papers (Ensaios Economicos da EPGE).
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  30. Forecasting the US unemployment rate. (2003). Proietti, Tommaso.
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  31. Automatic identification of time series features for rule-based forecasting. (2001). Armstrong, J. ; Adya, Monica ; Collopy, Fred ; Kennedy, Miles .
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  32. A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods.. (2000). Snyder, Ralph ; Hyndman, Rob ; Koehler, A. B. ; Grose, S..
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  35. Correct or combine? Mechanically integrating judgmental forecasts with statistical methods. (2000). Goodwin, Paul.
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