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In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining...
Persistent link: https://www.econbiz.de/10010316699
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In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining...
Persistent link: https://www.econbiz.de/10009792339
Persistent link: https://www.econbiz.de/10010467713
Persistent link: https://www.econbiz.de/10001436694
In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining...
Persistent link: https://www.econbiz.de/10010955418
Persistent link: https://www.econbiz.de/10010955483
Persistent link: https://www.econbiz.de/10000681349
Persistent link: https://www.econbiz.de/10000672969
We analyze macroeconomic data using univariate and multivariate forecast combining techniques. We simulate forecast errors with different variance-covariance structures. The simulations are used to compare the performance of univariate and multivariate combining techniques.
Persistent link: https://www.econbiz.de/10009793258