| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts |
3 |
10 |
51 |
133 |
13 |
34 |
181 |
360 |
| A Pedant's Approach to Exponential Smoothing |
2 |
2 |
16 |
150 |
6 |
14 |
58 |
445 |
| A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
5 |
12 |
69 |
491 |
10 |
28 |
154 |
1,351 |
| A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model |
5 |
7 |
36 |
37 |
8 |
14 |
64 |
71 |
| An Assessment of Alternative State Space Models for Count Time Series |
2 |
4 |
26 |
94 |
3 |
13 |
71 |
236 |
| BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING |
1 |
2 |
8 |
82 |
2 |
4 |
16 |
170 |
| Bayesian Exponential Smoothing |
0 |
3 |
18 |
277 |
2 |
7 |
45 |
977 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
1 |
14 |
123 |
1 |
4 |
50 |
340 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
2 |
12 |
63 |
2 |
5 |
34 |
217 |
| Business Forecasting with Exponential Smoothing: Computation of Prediction Intervals |
0 |
0 |
0 |
0 |
1 |
2 |
29 |
2,860 |
| Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models |
0 |
0 |
0 |
0 |
2 |
9 |
50 |
429 |
| Exponential Smoothing Methods of Forecasting and General ARMA Time Series Representations |
0 |
0 |
0 |
0 |
4 |
14 |
143 |
4,212 |
| Exponential Smoothing Model Selection for Forecasting |
16 |
49 |
208 |
846 |
93 |
245 |
1,005 |
3,435 |
| Exponential Smoothing and the Akaike Information Criterion |
3 |
14 |
45 |
45 |
12 |
60 |
104 |
104 |
| Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
5 |
16 |
79 |
642 |
20 |
64 |
337 |
2,200 |
| Exponential Smoothing of Seasonal Data: A Comparison |
0 |
0 |
0 |
0 |
10 |
20 |
108 |
2,741 |
| Exponential Smoothing: A Prediction Error Decomposition Principle |
3 |
4 |
33 |
215 |
10 |
19 |
137 |
686 |
| Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method |
14 |
37 |
177 |
1,650 |
66 |
138 |
902 |
7,658 |
| Forecasting Sales of Slow and Fast Moving Inventories |
1 |
4 |
31 |
425 |
3 |
10 |
80 |
1,424 |
| Forecasting Time-Series with Correlated Seasonality |
2 |
6 |
27 |
216 |
3 |
9 |
58 |
599 |
| Forecasting for Inventory Control with Exponential Smoothing |
7 |
37 |
152 |
1,090 |
31 |
115 |
529 |
3,644 |
| Incorporating a Tracking Signal into State Space Models for Exponential Smoothing |
2 |
3 |
15 |
91 |
3 |
8 |
85 |
350 |
| Inventory Control: Back to the Molehills |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
263 |
| Lead Time demand for Simple Exponential Smoothing |
0 |
0 |
0 |
0 |
19 |
45 |
201 |
2,426 |
| Monitoring Processes with Changing Variances |
3 |
5 |
21 |
34 |
8 |
12 |
44 |
62 |
| Prediction Intervals for Arima Models |
0 |
0 |
0 |
0 |
4 |
9 |
73 |
1,689 |
| Prediction Intervals for Exponential Smoothing State Space Models |
6 |
14 |
61 |
471 |
12 |
38 |
150 |
1,671 |
| Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series |
3 |
11 |
62 |
702 |
9 |
22 |
148 |
1,416 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
0 |
1 |
7 |
66 |
2 |
7 |
33 |
285 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
1 |
1 |
7 |
127 |
2 |
8 |
58 |
417 |
| The vector innovation structural time series framework: a simple approach to multivariate forecasting |
1 |
9 |
36 |
145 |
12 |
33 |
100 |
292 |
| Time Series Forecasting: The Case for the Single Source of Error State Space |
5 |
11 |
45 |
275 |
9 |
24 |
120 |
1,058 |
| Trend Stability and Structural Change: An Extension to the M1 Forecasting Competition |
0 |
0 |
0 |
0 |
2 |
5 |
12 |
1,020 |
| Trends, Lead Times and Forecasting |
0 |
0 |
0 |
0 |
2 |
7 |
20 |
941 |
| Understanding the Kalman Filter: an Object Oriented Programming Perspective |
14 |
33 |
156 |
1,373 |
21 |
68 |
293 |
2,901 |
| Total Working Papers |
104 |
298 |
1,412 |
9,863 |
407 |
1,114 |
5,494 |
48,950 |