The growing interest in gaming activity has led to an increased interest in Nevada's economy. Gross gaming revenues are regarded as an important economic indicator of the Nevada economy and of considerable importance to the State's budgetary planning since taxes derived from these revenues...

This paper is about the motivation, methodology, and evaluation of combining the forecasts from two or more different models in a "combined" forecast. Granger and Newbold (Granger, C., P. Newbold. 1977. Forecasting Economic Time Series. Academic Press, New York.) have presented this method as...

The results of the classical Cyert, Davidson, and Thompson (CDT) model for estimating the allowance for doubtful accounts could be made more valuable by correcting one flaw. The CDT model rests on the total balance method of aging dollars and, as presented, its answers cannot wisely be applied...

Within the past decade, the set of techniques used by technological forecasters has expanded considerably. While the old standbys such as trend extrapolation are still in wide use, some new techniques are also beginning to see wide use. In addition, there are some new techniques which have...

The impact on forecast accuracy of aggregating the subjective forecasts of up to 13 individuals was examined for five forecast weighting methods---equal weighting, two ex post methods that took advantage of prior information about the individuals' relative accuracy, and two ex ante methods based...

An approach is proposed that is useful for long term forecasting of market penetration of new technologies, fuel price and availability, business performance, etc. The central idea is to systematically solicit experts' opinion in the form of subjective probability distributions in making future...

In this paper, we study the use of a recursive discounted least squares model for forecasting daily hospital census. We show, by means of a case study, how one can incorporate, with a minimum amount of cost and effort, institutional and exogenous factors explicitly into the model so as to...

In this study, we postulate that forecasters desire to improve their performance by studying their past forecasting errors. To improve performance, forecasters may measure their past mistakes and revise their forecasts by forecast revision techniques. In an empirical test, forecasts of fifty...

In this paper the problems of using aggregate monthly data to estimate learning curves are investigated. Here, aggregate monthly data on labor hours are assumed to contain some of both fixed and variable labor hours. They are also assumed to be influenced by fluctuating quantities of work in...

The impact of forecasted demand and forecast error, introduced in the Master Production Schedule, upon Material Requirements Planning (MRP) Systems is investigated. A computerized simulation was built to examine several questions. Results indicate that forecasting error, especially the mean...