Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Devon K. Barrow"'
Autor:
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, M. Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li, Konstantia Litsiou, Spyros Makridakis, Gael M. Martin, Andrew B. Martinez, Sheik Meeran, Theodore Modis, Konstantinos Nikolopoulos, Dilek Önkal, Alessia Paccagnini, Anastasios Panagiotelis, Ioannis Panapakidis, Jose M. Pavía, Manuela Pedio, Diego J. Pedregal, Pierre Pinson, Patrícia Ramos, David E. Rapach, J. James Reade, Bahman Rostami-Tabar, Michał Rubaszek, Georgios Sermpinis, Han Lin Shang, Evangelos Spiliotis, Aris A. Syntetos, Priyanga Dilini Talagala, Thiyanga S. Talagala, Len Tashman, Dimitrios Thomakos, Thordis Thorarinsdottir, Ezio Todini, Juan Ramón Trapero Arenas, Xiaoqian Wang, Robert L. Winkler, Alisa Yusupova, Florian Ziel
Publikováno v:
INTERNATIONAL JOURNAL OF FORECASTING
Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, M Z, Barrow, D K, Ben Taieb, S, Bergmeir, C, Bessa, R J, Bijak, J, Boylan, J E, Browell, J, Carnevale, C, Castle, J L, Cirillo, P, Clements, M P, Cordeiro, C, Cyrino Oliveira, F L, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, P H, Frazier, D T, Gilliland, M, Gönül, M S, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, D F, Hollyman, R, Januschowski, T, Jeon, J, Jose, V R R, Kang, Y, Koehler, A B, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, G M, Martinez, A B, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, J M, Pedio, M, Pedregal, D J, Pinson, P, Ramos, P, Rapach, D E, Reade, J J, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, H L, Spiliotis, E, Syntetos, A A, Talagala, P D, Talagala, T S, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, J R, Wang, X, Winkler, R L, Yusupova, A & Ziel, F 2022, ' Forecasting: theory and practice ', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871 . https://doi.org/10.1016/j.ijforecast.2021.11.001
Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, M Z, Barrow, D K, Ben Taieb, S, Bergmeir, C, Bessa, R J, Bijak, J, Boylan, J E, Browell, J, Carnevale, C, Castle, J L, Cirillo, P, Clements, M P, Cordeiro, C, Cyrino Oliveira, F L, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, P H, Frazier, D T, Gilliland, M, Gönül, M S, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, D F, Hollyman, R, Januschowski, T, Jeon, J, Jose, V R R, Kang, Y, Koehler, A B, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, G M, Martinez, A B, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, J M, Pedio, M, Pedregal, D J, Pinson, P, Ramos, P, Rapach, D E, Reade, J J, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, H L, Spiliotis, E, Syntetos, A A, Talagala, P D, Talagala, T S, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, J R, Wang, X, Winkler, R L, Yusupova, A & Ziel, F 2022, ' Forecasting: theory and practice ', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871 . https://doi.org/10.1016/j.ijforecast.2021.11.001
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2416aa12fedc731d276566fae7787cf3
Publikováno v:
Journal of Business Research. 78:1-9
Recent advances have demonstrated the benefits of temporal aggregation for demand forecasting, including increased accuracy, improved stock control and reduced modelling uncertainty. With temporal aggregation a series is transformed, strengthening or
Autor:
Devon K. Barrow
Publikováno v:
Journal of Business Research. 69:6088-6096
Research into time series forecasting for call center management suggests that a forecast based on the simple Seasonal Moving Average (SMA) method outperforms more sophisticated approaches at long horizons where capacity planning decisions are made.
Publikováno v:
Kourentzes, N, Barrow, D & Petropoulos, F 2019, ' Another look at forecast selection and combination: evidence from forecast pooling ', International Journal of Production Economics, vol. 209, pp. 226-235 . https://doi.org/10.1016/j.ijpe.2018.05.019
Forecast selection and combination are regarded as two competing alternatives. In the literature there is substantial evidence that forecast combination is beneficial, in terms of reducing the forecast errors, as well as mitigating modelling uncertai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15a811953ede811ff21f630e74a4868
https://doi.org/10.1016/j.ijpe.2018.05.019
https://doi.org/10.1016/j.ijpe.2018.05.019
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
Inaccurate forecasts can be costly for company operations, in terms of stock-outs and lost sales, or over-stocking, while not meeting service level targets. The forecasting literature, often disjoint from the needs of the forecast users, has focused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff19c79983166b7f250f22c111c5aef3
http://hdl.handle.net/10578/18972
http://hdl.handle.net/10578/18972
Publikováno v:
Expert Systems with Applications. 160:113637
A major challenge in automating the production of a large number of forecasts, as often required in many business applications, is the need for robust and reliable predictions. Increased noise, outliers and structural changes in the series, all too c
Autor:
Nikolaos Kourentzes, Devon K. Barrow
Publikováno v:
International Journal of Production Economics. 177:24-33
Inventory control systems rely on accurate and robust forecasts of future demand to support decisions such as setting of safety stocks. The combination of multiple forecasts is shown to be effective not only in reducing forecast errors, but also in b
Autor:
Nikolaos Kourentzes, Devon K. Barrow
A key challenge for call centres remains the forecasting of high frequency call arrivals collected in hourly or shorter time buckets. In addition to the complex intraday, intraweek and intrayear seasonal cycles, call arrival data typically contain a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11053a65a7f13478bc3035ede08d828
https://doi.org/10.1016/j.ejor.2016.07.015
https://doi.org/10.1016/j.ejor.2016.07.015
Publikováno v:
Expert Systems with Applications. 41:4235-4244
The combination of forecasts resulting from an ensemble of neural networks has been shown to outperform the use of a single ''best'' network model. This is supported by an extensive body of literature, which shows that combining generally leads to im
Publikováno v:
Computers & Education. 60:264-272
Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogs highlight the importance of positive feedba