A model-based approach to the forecasting of short-range product demand within the semiconductor industry is presented. Device-level forecast models are developed via a novel two-stage stochastic algorithm that permits leading indicators to be optimally blended with smoothed estimates of...

Forecasting enables the efficient utilisation of a firm’s resources. There are various types of forecasting models that can be built. Illustrates the steps involved in building a forecasting model utilising seasonal regression with a practical example. The model obtained for the carbonated...

This paper introduces some of the considerations behind the teaching of research methodology at the Royal School of Library and Information Science at the masters level. The module in research methodology is illustrated in relation to information retrieval experiments. Theoretical and practical...

Employs weights based on relative errors produced by two or more models to formulate a consensus forecast. This method better captures changing patterns through time and sharply reduces size of forecast error.