Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India
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DOI: 10.1016/j.techfore.2017.02.012
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References listed on IDEAS
- Krishnamurthi, Lakshman & Narayan, Jack & Raj, S. P., 1989. "Intervention analysis using control series and exogenous variables in a transfer function model: A case study," International Journal of Forecasting, Elsevier, vol. 5(1), pages 21-27.
- Girard, Dorota Z., 2000. "Intervention times series analysis of pertussis vaccination in England and Wales," Health Policy, Elsevier, vol. 54(1), pages 13-25, November.
- Bianchi, Lisa & Jarrett, Jeffrey & Choudary Hanumara, R., 1998. "Improving forecasting for telemarketing centers by ARIMA modeling with intervention," International Journal of Forecasting, Elsevier, vol. 14(4), pages 497-504, December.
- Y. Eric Shao, 1997. "Multiple intervention analysis with application to sales promotion data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(2), pages 181-192.
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- Jun, Seung-Pyo & Yoo, Hyoung Sun & Lee, Jae-Seong, 2021. "The impact of the pandemic declaration on public awareness and behavior: Focusing on COVID-19 google searches," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
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Keywords
Trend impact analysis; Intervention model; ARIMA;All these keywords.
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