The purpose of this paper is to explore the reasons why combining works, discuss the implications involved and propose guidelines for improving the field of forecasting by exploiting the reasons that contribute to the ...

Eighteen time series differing in their trend (three categories), randomness (three categories), and presentation on a graph (two categories) were given to 350 MBA students in a laboratory experiment. Each student was asked ...

This paper predicts the type of business firms and managers most likely to emerge in the 21st century. The forecasts are based on rational principles which avoid the common mistakes made in the past by long-term ...

Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...

Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...

In the preceding three chapters, several major classes of time-series forecasting methods were examined---exponential smoothing, decomposition, autoregressive/moving average, and filters. Various models within each ...

La teoria economica y el sentido comun nos indican una serie de factores que pueden intervenir en la formacion de las estructuras economicas. Lo que resta, por tanto, es descubrir los que son realmente cruciales en nuestra ...

In Chapter 8 simple regression and correlation were introduced and discussed. In simple regression the basic proposition is that an independent variable can be used to predict the value of some dependent variable (the ...