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There are 7884671 results for: content related to: Discussion of ‘Multivariate dynamic regression: modeling and forecasting for intraday electricity load’ by Migon and Alves

  1. Rejoinder: Multivariate dynamic regression: Modeling and forecasting for intraday electricity load, by Migon and Alves

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Page: 603,

    Version of Record online : 16 DEC 2013, DOI: 10.1002/asmb.1993

  2. Discussion of ‘Multivariate Dynamic Regression: Modeling and Forecasting for Intraday Electricity Load’

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 599–601, E. Gutiérrez-Peña and M. Mendoza

    Version of Record online : 16 DEC 2013, DOI: 10.1002/asmb.1964

  3. Multivariate dynamic regression: modeling and forecasting for intraday electricity load

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 579–598, Helio S. Migon and Larissa C. Alves

    Version of Record online : 19 JUL 2013, DOI: 10.1002/asmb.1990

  4. Rejoinder to the discussions of the paper on ‘Electrical load forecasting by exponential smoothing with covariates’

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 652–658, Rainer Göb, Kristina Lurz and Antonio Pievatolo

    Version of Record online : 16 DEC 2013, DOI: 10.1002/asmb.2007

  5. Rejoinder to the discussion of ‘Short-term forecasting of the daily load curve for residential electricity usage in the smart grid’

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 626–628, J. R. M. Hosking, Ramesh Natarajan, Soumyadip Ghosh, Shivaram Subramanian and Xiaoxuan Zhang

    Version of Record online : 16 JUL 2013, DOI: 10.1002/asmb.1992

  6. Discussion on ‘Electrical load forecasting by exponential smoothing with covariates’

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 648–651, Rafał Weron and James Taylor

    Version of Record online : 16 DEC 2013, DOI: 10.1002/asmb.1996

  7. Bayesian modeling of financial returns: A relationship between volatility and trading volume

    Applied Stochastic Models in Business and Industry

    Volume 26, Issue 2, March/April 2010, Pages: 172–193, Carlos A. Abanto-Valle, Helio S. Migon and Hedibert F. Lopes

    Version of Record online : 8 JUN 2009, DOI: 10.1002/asmb.789

  8. Discussion on ‘Electrical load forecasting by exponential smoothing with covariates’by Rainer Göb, Kristina Lurz and Antonio Pievatolo

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 646–647, M. Pilar MuñOz

    Version of Record online : 16 DEC 2013, DOI: 10.1002/asmb.1999

  9. You have free access to this content
    N. E. Huang et al. Applications of Hilbert–Huang transform to non-stationary financial time series analysis. Applied Stochastic Models in Business and Industry 2003; 19(3): 245–268.

    Applied Stochastic Models in Business and Industry

    Volume 19, Issue 4, October/December 2003, Page: 361,

    Version of Record online : 12 NOV 2003, DOI: 10.1002/asmb.506

  10. Electrical load forecasting by exponential smoothing with covariates

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 6, November/December 2013, Pages: 629–645, Rainer Göb, Kristina Lurz and Antonio Pievatolo

    Version of Record online : 9 DEC 2013, DOI: 10.1002/asmb.2008

  11. Modelling and forecasting vehicle stocks using the trends of stochastic Gompertz diffusion models: The case of Spain

    Applied Stochastic Models in Business and Industry

    Volume 25, Issue 3, May/June 2009, Pages: 385–405, R. Gutiérrez, R. Gutiérrez-Sánchez and A. Nafidi

    Version of Record online : 24 DEC 2008, DOI: 10.1002/asmb.754

  12. Statistical quality control for ternary ordinal quality data

    Applied Stochastic Models in Business and Industry

    Volume 27, Issue 6, November/December 2011, Pages: 586–599, Emil Bashkansky and Tamar Gadrich

    Version of Record online : 6 DEC 2010, DOI: 10.1002/asmb.868

  13. Ridge directional singular points for fingerprint recognition and matching

    Applied Stochastic Models in Business and Industry

    Volume 22, Issue 1, January/February 2006, Pages: 73–91, Issam Dagher, Mustafa Badawi and Bassam Beyrouti

    Version of Record online : 2 DEC 2005, DOI: 10.1002/asmb.611

  14. Variable second-order inclusion probabilities during the sampling of industrial mixtures of particles

    Applied Stochastic Models in Business and Industry

    Volume 22, Issue 5-6, September - December 2006, Pages: 495–501, Bastiaan Geelhoed

    Version of Record online : 20 DEC 2006, DOI: 10.1002/asmb.651

  15. Falling and explosive, dormant, and rising markets via multiple-regime financial time series models

    Applied Stochastic Models in Business and Industry

    Volume 26, Issue 1, January/February 2010, Pages: 28–49, Cathy W. S. Chen, Richard H. Gerlach and Ann M. H. Lin

    Version of Record online : 31 MAR 2009, DOI: 10.1002/asmb.765

  16. On the use of phase-type distributions for inventory management with supply disruptions

    Applied Stochastic Models in Business and Industry

    Volume 27, Issue 6, November/December 2011, Pages: 660–675, Barış Balcıog̃lu and Ülkü Gürler

    Version of Record online : 21 FEB 2011, DOI: 10.1002/asmb.879

  17. The seasonal forecast of electricity demand: a hierarchical Bayesian model with climatological weather generator

    Applied Stochastic Models in Business and Industry

    Volume 22, Issue 2, March/April 2006, Pages: 113–125, Sergio Pezzulli, Patrizio Frederic, Shanti Majithia, Sal Sabbagh, Emily Black, Rowan Sutton and David Stephenson

    Version of Record online : 6 APR 2006, DOI: 10.1002/asmb.622

  18. You have free access to this content
    Special Issue on ‘Statistical Models for e-BusinessApplied Stochastic Models in Business and Industry

    Applied Stochastic Models in Business and Industry

    Volume 22, Issue 5-6, September - December 2006, Page: 639,

    Version of Record online : 20 DEC 2006, DOI: 10.1002/asmb.662

  19. Probabilistic models for medical insurance claims

    Applied Stochastic Models in Business and Industry

    Volume 23, Issue 4, July/August 2007, Pages: 307–317, Abebe Tessera

    Version of Record online : 28 MAR 2007, DOI: 10.1002/asmb.673

  20. NHPP models for categorized software defects

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 6, November/December 2005, Pages: 509–524, Zhaohui Liu, Nalini Ravishanker and Bonnie K. Ray

    Version of Record online : 8 DEC 2005, DOI: 10.1002/asmb.604