This paper is a critical review of exponential smoothing since the original work by Brown and
Holt in the 1950s. Exponential smoothing is based on a pragmatic approach to forecasting …

Mahajan and Peterson have provided an introduction to diffusion models that bridges the
disciplines and sets out the basic findings in a clear and consistent way. Their book is a …

There has been a veritable industry of forecasting models in recent decades, spurred partly
by planners' search for certainty and partly by the data crunching capabilities of computers …

The budget-making process can be viewed as a problem of decision making under
uncertainty since revenues are unknown at the time the budget is written. Revenue forecasts …

The authors investigated the potential of various time series models to aid in the prediction
of platelet utilization patterns at the authors' institution. During a seven-week feasibility study …

A resource allocation model was developed to assist in planning services for the severely
mentally ill. Given program objectives and resource constraints, the model employs linear …

Peak demand forecasts obtained from six different univariate forecasting methods, under a
range of conditions, were used to drive a capacity acquisition model of a large electrical …

Abstract The Box-Jenkins (BJ) methodology of time series analysis is currently one of the
most accurate of the historical approaches to forecasting. It involves the formation of an …

Plant labor productivity index, defined as the ratio of the standard labor hours and actual
labor hours, is an important factor in the determination of the future manpower needs at …

The prime directive of any regulated electric utility is to provide adequate and reliable
electricity supplies to the consuming public at reasonable cost. This requires the continual …