| 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 |
0 |
0 |
0 |
236 |
2 |
6 |
7 |
681 |
| A Pedant's Approach to Exponential Smoothing |
0 |
0 |
0 |
185 |
0 |
2 |
3 |
623 |
| A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
0 |
0 |
4 |
615 |
3 |
11 |
20 |
1,747 |
| A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model |
0 |
0 |
0 |
59 |
0 |
6 |
8 |
183 |
| An Assessment of Alternative State Space Models for Count Time Series |
0 |
0 |
0 |
141 |
0 |
4 |
8 |
458 |
| BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING |
0 |
0 |
0 |
95 |
0 |
8 |
10 |
266 |
| Bayesian Exponential Smoothing |
0 |
1 |
3 |
357 |
0 |
4 |
10 |
1,197 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
0 |
0 |
143 |
0 |
7 |
9 |
466 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
0 |
0 |
91 |
0 |
2 |
2 |
324 |
| Business Forecasting with Exponential Smoothing: Computation of Prediction Intervals |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
2,959 |
| Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
631 |
| Exponential Smoothing Methods of Forecasting and General ARMA Time Series Representations |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
4,370 |
| Exponential Smoothing Model Selection for Forecasting |
0 |
0 |
1 |
1,173 |
1 |
4 |
10 |
5,456 |
| Exponential Smoothing and the Akaike Information Criterion |
0 |
0 |
0 |
105 |
1 |
4 |
6 |
343 |
| Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
0 |
0 |
0 |
769 |
0 |
4 |
7 |
2,853 |
| Exponential Smoothing of Seasonal Data: A Comparison |
0 |
0 |
0 |
0 |
1 |
3 |
3 |
2,923 |
| Exponential Smoothing: A Prediction Error Decomposition Principle |
0 |
0 |
0 |
262 |
1 |
8 |
10 |
929 |
| Forecasting Compositional Time Series with Exponential Smoothing Methods |
1 |
1 |
1 |
144 |
1 |
3 |
5 |
309 |
| Forecasting Compositional Time Series: A State Space Approach |
0 |
1 |
1 |
73 |
0 |
4 |
12 |
139 |
| Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing |
0 |
0 |
0 |
138 |
0 |
3 |
14 |
313 |
| Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method |
0 |
0 |
0 |
1,919 |
1 |
9 |
17 |
8,988 |
| Forecasting Sales of Slow and Fast Moving Inventories |
0 |
1 |
1 |
595 |
1 |
4 |
7 |
2,033 |
| Forecasting Time-Series with Correlated Seasonality |
0 |
1 |
1 |
263 |
0 |
9 |
11 |
780 |
| Forecasting for Inventory Control with Exponential Smoothing |
0 |
0 |
1 |
1,292 |
1 |
5 |
12 |
4,692 |
| Forecasting the Intermittent Demand for Slow-Moving Items |
0 |
0 |
1 |
180 |
3 |
7 |
10 |
571 |
| Forecasting the Intermittent Demand for Slow-Moving Items |
0 |
1 |
4 |
149 |
4 |
8 |
12 |
512 |
| Incorporating a Tracking Signal into State Space Models for Exponential Smoothing |
0 |
0 |
0 |
114 |
0 |
5 |
5 |
430 |
| Intermittent demand forecasting for inventory control: A multi-series approach |
1 |
1 |
3 |
128 |
2 |
2 |
5 |
378 |
| Inventory Control: Back to the Molehills |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
291 |
| Lead Time demand for Simple Exponential Smoothing |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
2,806 |
| Monitoring Processes with Changing Variances |
0 |
0 |
1 |
61 |
1 |
5 |
10 |
180 |
| Prediction Intervals for Arima Models |
0 |
0 |
0 |
0 |
1 |
7 |
10 |
1,943 |
| Prediction Intervals for Exponential Smoothing State Space Models |
0 |
0 |
2 |
639 |
3 |
9 |
17 |
2,159 |
| Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series |
0 |
0 |
0 |
865 |
2 |
10 |
15 |
1,907 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
0 |
0 |
0 |
150 |
3 |
5 |
9 |
567 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
0 |
0 |
0 |
91 |
2 |
5 |
7 |
429 |
| Single source of error state space approach to the Beveridge Nelson decomposition |
0 |
0 |
0 |
33 |
0 |
9 |
10 |
98 |
| The vector innovation structural time series framework: a simple approach to multivariate forecasting |
0 |
0 |
0 |
180 |
1 |
8 |
9 |
505 |
| Time Series Forecasting: The Case for the Single Source of Error State Space |
0 |
0 |
0 |
335 |
1 |
8 |
8 |
1,309 |
| Trend Stability and Structural Change: An Extension to the M1 Forecasting Competition |
0 |
0 |
0 |
0 |
0 |
4 |
4 |
1,081 |
| Trends, Lead Times and Forecasting |
0 |
0 |
0 |
0 |
1 |
5 |
6 |
997 |
| Understanding the Kalman Filter: an Object Oriented Programming Perspective |
0 |
0 |
2 |
1,701 |
1 |
3 |
6 |
3,633 |
| Total Working Papers |
2 |
7 |
26 |
13,281 |
40 |
217 |
346 |
63,459 |