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Forecasting category sales and market share for wireless telephone subscribers: a combined approach

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  • Kumar, V.
  • Nagpal, Anish
  • Venkatesan, Rajkumar

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  • Kumar, V. & Nagpal, Anish & Venkatesan, Rajkumar, 2002. "Forecasting category sales and market share for wireless telephone subscribers: a combined approach," International Journal of Forecasting, Elsevier, vol. 18(4), pages 583-603.
    • Handle: RePEc:eee:intfor:v:18:y:2002:i:4:p:583-603
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    1. Charles B. Weinberg, 1986. "Arts Plan: Implementation, Evolution, and Usage," Marketing Science, INFORMS, vol. 5(2), pages 143-158.
    2. Armstrong, J. Scott & Morwitz, Vicki G. & Kumar, V., 2000. "Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 383-397.
    3. Nigel Meade & Towhidul Islam, 1998. "Technological Forecasting---Model Selection, Model Stability, and Combining Models," Management Science, INFORMS, vol. 44(8), pages 1115-1130, August.
    4. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    5. Brodie, Roderick J. & Bonfrer, Andre, 1994. "Conditions when market share models are useful for forecasting: further empirical results," International Journal of Forecasting, Elsevier, vol. 10(2), pages 277-285, September.
    6. Jan Alsem, Karel & Leeflang, Peter S. H., 1994. "Predicting advertising expenditures using intention surveys," International Journal of Forecasting, Elsevier, vol. 10(2), pages 327-337, September.
    7. Wittink, Dick R., 1987. "Causal market share models in marketing: Neither forecasting nor understanding?," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 445-448.
    8. V. Kumar & Timothy B. Heath, 1990. "A comparative study of market share models using disaggregate data," Post-Print hal-00670544, HAL.
    9. Kumar, V., 1994. "Forecasting performance of market share models: an assessment, additional insights, and guidelines," International Journal of Forecasting, Elsevier, vol. 10(2), pages 295-312, September.
    10. Dalrymple, Douglas J., 1987. "Sales forecasting practices: Results from a United States survey," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 379-391.
    11. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    12. Mahmoud, Essam, 1989. "Combining forecasts: Some managerial issues," International Journal of Forecasting, Elsevier, vol. 5(4), pages 599-600.
    13. Kumar, V. & Heath, Timothy B., 1990. "A comparative study of market share models using disaggregate data," International Journal of Forecasting, Elsevier, vol. 6(2), pages 163-174, July.
    14. Roy Batchelor & Pami Dua, 1995. "Forecaster Diversity and the Benefits of Combining Forecasts," Management Science, INFORMS, vol. 41(1), pages 68-75, January.
    15. Bass, Frank M., 1987. "Misspecification and the inherent randomness of the model are at the heart of the Brodie and de Kluyver enigma," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 441-444.
    16. Antonelli, Cristiano, 1993. "Externalities and complementarities in telecommunications dynamics," International Journal of Industrial Organization, Elsevier, vol. 11(3), pages 437-447, September.
    17. Brodie, Roderick J. & De Kluyver, Cornelis A., 1987. "A comparison of the short term forecasting accuracy of econometric and naive extrapolation models of market share," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 423-437.
    18. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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    Cited by:

    1. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    2. Snyder, Ralph D. & Ord, J. Keith & Koehler, Anne B. & McLaren, Keith R. & Beaumont, Adrian N., 2017. "Forecasting compositional time series: A state space approach," International Journal of Forecasting, Elsevier, vol. 33(2), pages 502-512.
    3. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    4. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.
    5. Siotis Georges & Martínez-Granado Maite, 2010. "Sabotaging Entry: An Estimation of Damages in the Directory Enquiry Service Market," Review of Law & Economics, De Gruyter, vol. 6(1), pages 1-57, April.
    6. Shagun Srivastava & Madhvendra Misra, 2014. "Developing Evaluation Matrix for Critical Success Factors in Technology Forecasting," Global Business Review, International Management Institute, vol. 15(2), pages 363-380, June.
    7. Siotis, Georges & Martinez Granado, Maite, 2006. "Computing Abuse Related Damages in the Case of New Entry: An Illustration for the Directory Enquiry Services Market," CEPR Discussion Papers 5813, C.E.P.R. Discussion Papers.
    8. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.

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