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Service data analytics and business intelligence 2017

Author

Listed:
  • Desheng Dash Wu

    (University of Chinese Academy of Sciences
    Stockholm University)

  • Wolfgang Karl Härdle

    (Humboldt-Universität zu Berlin
    Singapore Management University
    Charles University
    National Chiao Tung University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Desheng Dash Wu & Wolfgang Karl Härdle, 2020. "Service data analytics and business intelligence 2017," Computational Statistics, Springer, vol. 35(2), pages 423-426, June.
    • Handle: RePEc:spr:compst:v:35:y:2020:i:2:d:10.1007_s00180-020-00968-2
    DOI: 10.1007/s00180-020-00968-2
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    References listed on IDEAS

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    1. Akhtaruzzaman, M. & Berg, Nathan & Hajzler, Christopher, 2017. "Expropriation risk and FDI in developing countries: Does return of capital dominate return on capital?," European Journal of Political Economy, Elsevier, vol. 49(C), pages 84-107.
    2. He, Zhou & Cheng, T.C.E. & Dong, Jichang & Wang, Shouyang, 2016. "Evolutionary location and pricing strategies for service merchants in competitive O2O markets," European Journal of Operational Research, Elsevier, vol. 254(2), pages 595-609.
    3. Tianshun Yan & Yanyong Zhao & Wentao Wang, 2020. "Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate," Computational Statistics, Springer, vol. 35(2), pages 539-557, June.
    4. Busse, Matthias & Hefeker, Carsten, 2007. "Political risk, institutions and foreign direct investment," European Journal of Political Economy, Elsevier, vol. 23(2), pages 397-415, June.
    5. Weichang Kong & Fei Qiao & Qidi Wu, 2020. "Real-manufacturing-oriented big data analysis and data value evaluation with domain knowledge," Computational Statistics, Springer, vol. 35(2), pages 515-538, June.
    6. Fenghua Wen & Yupei Zhao & Minzhi Zhang & Chunyan Hu, 2019. "Forecasting realized volatility of crude oil futures with equity market uncertainty," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6411-6427, December.
    7. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.
    8. Xuanzhu Fan & Jiafu Tang & Chongjun Yan, 2020. "Appointment scheduling optimization with two stages diagnosis for clinic outpatient," Computational Statistics, Springer, vol. 35(2), pages 469-490, June.
    9. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
    10. Charles J. Corbett & Xavier de Groote, 2000. "A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information," Management Science, INFORMS, vol. 46(3), pages 444-450, March.
    11. Xiao, Jihong & Zhou, Min & Wen, Fengming & Wen, Fenghua, 2018. "Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index," Energy Economics, Elsevier, vol. 74(C), pages 777-786.
    12. Desheng Wu & Baofeng Zhang & Opher Baron, 2019. "A Trade Credit Model with Asymmetric Competing Retailers," Production and Operations Management, Production and Operations Management Society, vol. 28(1), pages 206-231, January.
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