| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Note on Trend Removal Methods: The Case of Polynomial Regression versus Variate Differencing |
0 |
0 |
1 |
230 |
0 |
1 |
2 |
750 |
| A new end-of-auction model for curbing sniping |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
18 |
| A study of outliers in the exponential smoothing approach to forecasting |
0 |
0 |
1 |
61 |
2 |
2 |
4 |
274 |
| AUTOBOX: (Version 1.02, March 1986). Automatic Forecasting Systems Inc., P.O. Box 563, Hatboro, PA 19040, 215-675-0652. List price $1,695 (AUTOBJ-univariate only-$595). Requirements: 320K, two disk drives (or one drive and a hard disk), DOS 2.0 or better |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
136 |
| Algorithm 2: Latent Roots and Vectors of an Arbitrary Real Matrix |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
| An Inventory Model with Order Crossover |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
7 |
| An Investigation of Transactions Data for NYSE Stocks |
0 |
1 |
7 |
336 |
2 |
4 |
17 |
783 |
| Analysis of a dual sourcing inventory model with normal unit demand and Erlang mixture lead times |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
77 |
| Automatic forecasting using explanatory variables: A comparative study |
0 |
0 |
0 |
29 |
1 |
1 |
1 |
85 |
| Automatic neural network modeling for univariate time series |
0 |
0 |
3 |
97 |
0 |
0 |
7 |
232 |
| Calculating Interval Forecasts: Comment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
55 |
| Calculating interval forecasts: C. Chatfield, Journal of business and economic statistics, 11 (1993), 121-144 (with discussion and response by author) |
0 |
0 |
0 |
302 |
0 |
0 |
2 |
531 |
| Charles Holt's report on exponentially weighted moving averages: an introduction and appreciation |
0 |
0 |
1 |
52 |
0 |
0 |
1 |
198 |
| Comments on "significance tests harm progress in forecasting" |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
47 |
| Commercially available software and the M3-Competition |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
73 |
| Delivery performance in vendor selection decisions |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
149 |
| Elements of multivariate time series: Gregory C. Reinsel, 1993, Springer Series in Statistics, (Springer-Verlag, New York), 263 pp. US 49.00. ISBN 0-387-94063-4 |
0 |
0 |
2 |
84 |
0 |
0 |
5 |
247 |
| Exponential smoothing models: Means and variances for lead-time demand |
0 |
0 |
0 |
27 |
0 |
2 |
4 |
162 |
| Forecasting compositional time series: A state space approach |
0 |
0 |
1 |
23 |
0 |
1 |
2 |
79 |
| Forecasting for inventory control with exponential smoothing |
0 |
0 |
1 |
123 |
1 |
2 |
11 |
464 |
| Forecasting models and prediction intervals for the multiplicative Holt-Winters method |
0 |
0 |
8 |
342 |
0 |
3 |
19 |
1,559 |
| Forecasting the intermittent demand for slow-moving inventories: A modelling approach |
0 |
0 |
6 |
101 |
0 |
0 |
15 |
419 |
| Forecasting time series with multiple seasonal patterns |
0 |
0 |
0 |
187 |
1 |
2 |
4 |
663 |
| Forecasting using automatic identification procedures: A comparative analysis |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
36 |
| Future developments in forecasting: The time series connexion |
0 |
0 |
1 |
18 |
0 |
0 |
1 |
50 |
| Improving and Measuring the Performance of a Securities Industry Surveillance System |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
| Introduction to time series monitoring |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
56 |
| Lead time demand for simple exponential smoothing: an adjustment factor for the standard deviation |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
9 |
| Local spatial heteroscedasticity (LOSH) |
0 |
0 |
0 |
30 |
0 |
1 |
3 |
131 |
| Long-run credit growth in the US |
0 |
0 |
1 |
36 |
1 |
2 |
5 |
130 |
| Market risk and process uncertainty in production operations |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
6 |
| Market structure and technological change: William L. Baldwin and John T. Scott, (Harwood Academic Publishers, Chur, New York and Switzerland, 1987) pp. 170, $? |
0 |
0 |
1 |
106 |
0 |
3 |
5 |
306 |
| Maximizing the probability of realizing profit targets versus maximizing expected profits: A reconciliation to resolve an agency problem |
0 |
0 |
0 |
3 |
0 |
0 |
4 |
31 |
| Model selection and estimation for technological growth curves |
0 |
0 |
0 |
54 |
0 |
0 |
2 |
106 |
| Monitoring processes with changing variances |
0 |
0 |
0 |
20 |
0 |
1 |
3 |
121 |
| Note: Dual sourcing with nonidentical suppliers |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
11 |
| Outliers in statistical data: V. Barnett and T. Lewis, 1994, 3rd edition, (John Wiley & Sons, Chichester), 584 pp., [UK pound]55.00, ISBN 0-471-93094-6 |
11 |
36 |
191 |
5,162 |
22 |
71 |
367 |
11,705 |
| Personal views of the M2-competition |
0 |
0 |
0 |
4 |
1 |
2 |
2 |
43 |
| Prediction Intervals for ARIMA Models |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
643 |
| Prediction intervals for exponential smoothing using two new classes of state space models |
0 |
1 |
1 |
150 |
0 |
3 |
11 |
580 |
| Principles of Forecasting: A Handbook for Researchers and Practitioners: J. Scott Armstrong (Ed.), (2001), Boston: Kluwer Academic Publishers, 849 pages. Hardback: ISBN: 0-7923-7930-6; $190, [UK pound]133, [euro;]210.00, Paperback: ISBN: 07923-7401-0; $95; [UK pound]66.50, [euro;]105 |
0 |
0 |
0 |
141 |
1 |
2 |
8 |
644 |
| Privatization and Fiscal Deficits in European Emerging Markets |
0 |
0 |
0 |
2 |
1 |
1 |
2 |
13 |
| Rethinking the reengineering metaphor |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
13 |
| Shrinking: When and how? |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
55 |
| Sole Versus Dual Sourcing in Stochastic Lead-Time (s, Q) Inventory Models |
0 |
0 |
1 |
20 |
0 |
0 |
2 |
83 |
| Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation |
0 |
1 |
2 |
92 |
1 |
2 |
3 |
286 |
| The Analysis of Commuting Patterns |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
54 |
| The Comparison of Means When Samples Consist of Spatially Autocorrelated Observations |
0 |
0 |
0 |
44 |
1 |
1 |
1 |
122 |
| The Estimation of Conditional Distributions From Large Databases |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
37 |
| The M2-competition: A real-time judgmentally based forecasting study |
0 |
0 |
5 |
188 |
0 |
1 |
9 |
475 |
| The M3-Competition1 |
0 |
0 |
0 |
31 |
1 |
1 |
6 |
186 |
| The forecasting accuracy of major time series methods: Spyros Makridakis, Allen Andersen, Robert Carbone, Robert Fildes, Michele Hibon, Rudolf Lewandowski, Joseph Newton, Emmanuel Parzen and Robert Winkler (Wiley, New York and Chichester, 1984) $34.50/sP43.50, pp. 301 |
0 |
1 |
2 |
179 |
0 |
2 |
4 |
668 |
| The future of the International Journal of Forecasting |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
48 |
| The manager's guide to business forecasting: Michael Barron and David Targett. (Blackwell, Oxford and New York, 1985) pp. 230, $39.95, [UK pound]15.00 |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
173 |
| The past and the future of forecasting research |
0 |
0 |
1 |
94 |
0 |
0 |
1 |
190 |
| The truncated normal–gamma mixture as a distribution for lead time demand |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
9 |
| The uncertainty track: Machine learning, statistical modeling, synthesis |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
6 |
| Twenty-five years of forecasting |
0 |
0 |
1 |
64 |
0 |
0 |
1 |
180 |
| Viewpoint and Respons |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| Total Journal Articles |
11 |
40 |
238 |
8,665 |
36 |
113 |
547 |
24,230 |
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