| 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 |
0 |
0 |
0 |
674 |
| A Pedant's Approach to Exponential Smoothing |
0 |
0 |
0 |
185 |
0 |
0 |
1 |
620 |
| A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
0 |
0 |
8 |
613 |
1 |
1 |
14 |
1,730 |
| A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model |
0 |
0 |
0 |
59 |
0 |
0 |
1 |
176 |
| An Assessment of Alternative State Space Models for Count Time Series |
0 |
0 |
0 |
141 |
0 |
1 |
3 |
451 |
| BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING |
0 |
0 |
0 |
95 |
0 |
0 |
2 |
256 |
| Bayesian Exponential Smoothing |
0 |
2 |
4 |
356 |
2 |
4 |
9 |
1,191 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
0 |
0 |
143 |
0 |
0 |
0 |
457 |
| Beveridge-Nelson Decomposition with Markov Switching |
0 |
0 |
0 |
91 |
0 |
0 |
0 |
322 |
| Business Forecasting with Exponential Smoothing: Computation of Prediction Intervals |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2,956 |
| Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
629 |
| Exponential Smoothing Methods of Forecasting and General ARMA Time Series Representations |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
4,369 |
| Exponential Smoothing Model Selection for Forecasting |
1 |
1 |
1 |
1,173 |
1 |
2 |
7 |
5,448 |
| Exponential Smoothing and the Akaike Information Criterion |
0 |
0 |
0 |
105 |
0 |
0 |
1 |
337 |
| Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
0 |
0 |
1 |
769 |
0 |
0 |
3 |
2,846 |
| Exponential Smoothing of Seasonal Data: A Comparison |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2,920 |
| Exponential Smoothing: A Prediction Error Decomposition Principle |
0 |
0 |
0 |
262 |
0 |
0 |
0 |
919 |
| Forecasting Compositional Time Series with Exponential Smoothing Methods |
0 |
0 |
1 |
143 |
0 |
0 |
1 |
304 |
| Forecasting Compositional Time Series: A State Space Approach |
0 |
0 |
1 |
72 |
0 |
0 |
1 |
127 |
| Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing |
0 |
0 |
0 |
138 |
0 |
0 |
7 |
305 |
| Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method |
0 |
0 |
0 |
1,919 |
0 |
1 |
4 |
8,973 |
| Forecasting Sales of Slow and Fast Moving Inventories |
0 |
0 |
2 |
594 |
0 |
0 |
4 |
2,026 |
| Forecasting Time-Series with Correlated Seasonality |
0 |
0 |
0 |
262 |
0 |
0 |
2 |
769 |
| Forecasting for Inventory Control with Exponential Smoothing |
0 |
1 |
1 |
1,292 |
0 |
1 |
3 |
4,681 |
| Forecasting the Intermittent Demand for Slow-Moving Items |
0 |
0 |
2 |
147 |
0 |
0 |
2 |
502 |
| Forecasting the Intermittent Demand for Slow-Moving Items |
0 |
0 |
0 |
179 |
0 |
0 |
0 |
561 |
| Incorporating a Tracking Signal into State Space Models for Exponential Smoothing |
0 |
0 |
0 |
114 |
0 |
0 |
0 |
425 |
| Intermittent demand forecasting for inventory control: A multi-series approach |
0 |
0 |
0 |
125 |
0 |
0 |
1 |
373 |
| Inventory Control: Back to the Molehills |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
289 |
| Lead Time demand for Simple Exponential Smoothing |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2,803 |
| Monitoring Processes with Changing Variances |
0 |
0 |
0 |
60 |
0 |
0 |
3 |
170 |
| Prediction Intervals for Arima Models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1,934 |
| Prediction Intervals for Exponential Smoothing State Space Models |
0 |
1 |
2 |
638 |
0 |
2 |
6 |
2,144 |
| Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series |
0 |
0 |
2 |
865 |
2 |
2 |
5 |
1,894 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
0 |
0 |
0 |
150 |
0 |
0 |
2 |
558 |
| Single Source of Error State Space Approach to the Beveridge Nelson Decomposition |
0 |
0 |
0 |
91 |
0 |
0 |
1 |
422 |
| Single source of error state space approach to the Beveridge Nelson decomposition |
0 |
0 |
0 |
33 |
0 |
0 |
1 |
88 |
| The vector innovation structural time series framework: a simple approach to multivariate forecasting |
0 |
0 |
0 |
180 |
0 |
0 |
3 |
496 |
| Time Series Forecasting: The Case for the Single Source of Error State Space |
0 |
0 |
0 |
335 |
0 |
0 |
3 |
1,301 |
| Trend Stability and Structural Change: An Extension to the M1 Forecasting Competition |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,077 |
| Trends, Lead Times and Forecasting |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
991 |
| Understanding the Kalman Filter: an Object Oriented Programming Perspective |
0 |
0 |
1 |
1,700 |
0 |
0 |
2 |
3,628 |
| Total Working Papers |
1 |
5 |
26 |
13,265 |
6 |
16 |
97 |
63,142 |
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