| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Method for Meta-Analysis of Case-Control Genetic Association Studies Using Logistic Regression |
0 |
0 |
0 |
82 |
0 |
1 |
4 |
290 |
| A strategic forecasting framework for governmental decision-making and planning |
0 |
0 |
0 |
12 |
0 |
2 |
12 |
83 |
| A study of financial volatility forecasting techniques in the FTSE/ASE 20 index |
0 |
0 |
0 |
87 |
0 |
4 |
8 |
271 |
| A technical analysis approach to tourism demand forecasting |
0 |
0 |
0 |
22 |
0 |
4 |
9 |
105 |
| A web forecasting system supporting policy implementation: the case of 'digital planning' in Greece |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
10 |
| Advances in business and management forecasting |
0 |
0 |
0 |
26 |
0 |
2 |
6 |
158 |
| Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction |
0 |
1 |
1 |
53 |
0 |
4 |
17 |
291 |
| Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction |
0 |
0 |
0 |
11 |
1 |
3 |
12 |
80 |
| Amplifying the learning effects via a Forecasting and Foresight Support System |
0 |
0 |
0 |
5 |
0 |
9 |
17 |
42 |
| An empirical investigation of water consumption forecasting methods |
0 |
0 |
0 |
4 |
0 |
4 |
8 |
36 |
| An expert system for forecasting mutual funds in Greece |
0 |
0 |
1 |
24 |
0 |
2 |
7 |
118 |
| Another look at estimators for intermittent demand |
0 |
0 |
0 |
2 |
1 |
6 |
13 |
35 |
| Business forecasting recipes for the new millennium |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
15 |
| Consumer access to credit: the case of the UK |
0 |
0 |
0 |
2 |
0 |
1 |
5 |
14 |
| Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail |
2 |
5 |
12 |
29 |
3 |
12 |
44 |
87 |
| Dividend signaling under economic adversity: Evidence from the London Stock Exchange |
0 |
0 |
1 |
91 |
0 |
5 |
16 |
332 |
| E-forecasting: challenges and opportunities |
0 |
0 |
0 |
2 |
0 |
1 |
7 |
31 |
| Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning |
3 |
18 |
52 |
293 |
9 |
64 |
195 |
1,119 |
| Elicitation of expert opinions for uncertainty and risk: Bilal M. Ayyub, CRC Press 2001, Hardcover, 328 pages. ISBN: 0-8493-1087-3, $84.95 |
0 |
0 |
1 |
66 |
0 |
1 |
8 |
350 |
| Eliciting and Analyzing Expert Judgment: A practical guide,: Mary A. Meyer and Jane M. Booker, ASA-SIAM Series on Statistics and Applied Probability 2001, Hardcover, 459 pages. ISBN: 0-89871-474-5, $85 |
0 |
0 |
0 |
198 |
1 |
2 |
6 |
507 |
| Essays in Econometrics. Collected papers of Clive W.J. Granger. Volume I: Spectral analysis, Seasonality, Nonlinearity, Methodology and Forecasting. Volume II: Causality, Integration and Cointegration, and Long Memory,: Edited by Eric Ghysels, Norman R. Swanson, and Mark W. Watson, Cambridge University Press, 2001, Paperback. Volume I: pp. 523, ISBN: 0-521-77496-9, $40. Volume II: pp. 378, ISBN: 0-521-79649-0, $40 |
0 |
1 |
1 |
117 |
2 |
11 |
14 |
285 |
| Forecast quality improvement with Action Research: A success story at PharmaCo |
0 |
0 |
0 |
12 |
0 |
1 |
2 |
70 |
| Forecasting Multivariate Time Series with the Theta Method |
0 |
0 |
2 |
11 |
0 |
4 |
13 |
82 |
| Forecasting and operational research: a review |
0 |
1 |
5 |
24 |
0 |
9 |
39 |
167 |
| Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions |
1 |
2 |
9 |
37 |
1 |
7 |
33 |
154 |
| Forecasting branded and generic pharmaceuticals |
0 |
0 |
2 |
71 |
3 |
5 |
30 |
268 |
| Forecasting supply chain sporadic demand with nearest neighbor approaches |
0 |
0 |
3 |
21 |
1 |
1 |
17 |
110 |
| Forecasting the value effect of seasoned equity offering announcements |
0 |
0 |
0 |
33 |
0 |
0 |
13 |
152 |
| Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors |
0 |
0 |
0 |
6 |
0 |
2 |
7 |
47 |
| Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches |
0 |
0 |
0 |
35 |
0 |
0 |
4 |
105 |
| Forecasting with quantitative methods: the impact of special events in time series |
0 |
0 |
5 |
63 |
1 |
7 |
42 |
439 |
| Growth, deregulation and rent seeking in post-war British economy |
0 |
0 |
0 |
0 |
0 |
2 |
13 |
36 |
| Identifying the characteristics of successful expert systems: an empirical evaluation |
0 |
0 |
0 |
4 |
0 |
3 |
6 |
18 |
| Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis |
1 |
1 |
2 |
18 |
1 |
3 |
14 |
100 |
| In: G. Peter Zhang, Editor, Neural networks in business forecasting, Idea Group Inc. (2003) ISBN 1591401763 Hardcover, 310 pages. $79.95 |
0 |
0 |
0 |
86 |
0 |
1 |
2 |
346 |
| In: J. Knight and S. Satchell, Editors, Forecasting volatility in the financial markets, Butterworth-Heinemann (2002) ISBN 0750655151 Hardcover, [Ukpound]60, 420 pages |
0 |
0 |
0 |
30 |
0 |
1 |
7 |
133 |
| Internationalization Orientation in SMEs: The Mediating Role of Technological Innovation |
0 |
0 |
3 |
76 |
1 |
9 |
39 |
377 |
| Introduction to econometrics: Christopher Dougherty (2nd edition), Oxford University Press, 2002, Paperback, 424 pages. ISBN: 0198776438, [UK pound]27.99 |
0 |
1 |
14 |
1,042 |
2 |
4 |
28 |
2,742 |
| Judging the judges through accuracy-implication metrics: The case of inventory forecasting |
0 |
0 |
1 |
51 |
1 |
1 |
16 |
220 |
| Leading innovation: Empirical evidence for ambidextrous leadership from UK high-tech SMEs |
0 |
1 |
11 |
42 |
1 |
8 |
37 |
166 |
| Misbehaving, Misdesigning, and Miscommunicating |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
23 |
| Mixed-Effects Poisson Regression Models for Meta-Analysis of Follow-Up Studies with Constant or Varying Durations |
0 |
0 |
6 |
210 |
0 |
7 |
28 |
783 |
| On the predictability of firm performance via simple time-series and econometric models: evidence from UK SMEs |
0 |
0 |
0 |
45 |
0 |
4 |
6 |
128 |
| Options trading driven by volatility directional accuracy |
0 |
0 |
0 |
89 |
9 |
10 |
19 |
313 |
| Providing support for the use of analogies in demand forecasting tasks |
0 |
0 |
1 |
22 |
0 |
4 |
13 |
118 |
| Relative performance of methods for forecasting special events |
0 |
1 |
2 |
65 |
0 |
3 |
14 |
197 |
| Remote access to group expertise: an essential e-operation for SMEs |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
13 |
| Reply to Commentaries by Flores, Önkal and Sanders |
0 |
0 |
0 |
3 |
0 |
4 |
8 |
32 |
| Simplicity, Inference and Modelling: Keeping It Sophisticatedly Simple: Arnold Zellner, Hugo A. Keuzenkamp, Michael McAleer (Editors), Cambridge University Press 2001, Hardcover, 312 pages. ISBN: 0-521-80361-6, $ 75 |
0 |
0 |
2 |
116 |
1 |
2 |
7 |
342 |
| Spyros Makridakis: An interview with the International Journal of Forecasting |
0 |
0 |
0 |
165 |
0 |
2 |
6 |
667 |
| Superforecasting reality check: Evidence from a small pool of experts and expedited identification |
0 |
0 |
0 |
4 |
2 |
7 |
24 |
55 |
| Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A |
2 |
10 |
23 |
159 |
6 |
39 |
112 |
629 |
| Supporting Business Decisions Through Standard Forecasting Practices: A Case Study in a Greek Tobacco Distribution Company |
0 |
0 |
0 |
2 |
0 |
5 |
5 |
21 |
| Tales from tails: On the empirical distributions of forecasting errors and their implication to risk |
0 |
0 |
0 |
4 |
0 |
3 |
14 |
46 |
| The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece |
0 |
0 |
1 |
2 |
1 |
3 |
12 |
24 |
| The Theta Method |
0 |
0 |
4 |
104 |
1 |
5 |
22 |
256 |
| The effects of integrating management judgement into intermittent demand forecasts |
0 |
0 |
3 |
59 |
0 |
1 |
9 |
285 |
| The process of using a forecasting support system |
0 |
0 |
0 |
23 |
1 |
5 |
21 |
111 |
| The theta model: a decomposition approach to forecasting |
1 |
1 |
3 |
258 |
2 |
3 |
22 |
792 |
| Time-Series Forecasting,: Chris Chatfield, Chapman & Hall/CRC, London, 2001, Hardcover, 280 pages. ISBN: 1-58488-063-5, $74.95 |
0 |
0 |
2 |
217 |
1 |
3 |
9 |
843 |
| Tourism Technical Analysis System |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
13 |
| We need to talk about intermittent demand forecasting |
0 |
2 |
3 |
18 |
0 |
5 |
18 |
52 |
| ‘Horses for Courses’ in demand forecasting |
0 |
0 |
1 |
16 |
1 |
5 |
20 |
114 |
| Total Journal Articles |
10 |
45 |
177 |
4,375 |
54 |
329 |
1,174 |
15,848 |
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