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Sliding simulation: a new approach to time series forecasting
(Institute for Operations Research and the Management Sciences, 1990-04)
This paper proposes a new approach to time series forecasting based upon three premises. First, a model is selected not by how well it fits historical data but on its ability to accurately predict out-of-sample actual data. ...
What can we learn from corporate failure?
(Elsevier, 1991)
Failure is a natural process, observed in both biological and organizational systems. In this article different types of failure are illustrated and the most common factors that contribute to failure described. Delaying ...
The Forthcoming Information Revolution: Its Impact on Society and Firms
(Elsevier, 1995)
The impact of the industrial revolutions on all aspects of our society, work and life has, undoubtedly, been substantial. Will all the talk about the information revolution produce similar, far-reaching changes? By examining ...
Time-Series Analysis and Forecasting: An Update and Evaluation
(International Statistical Institute (ISI), 1978-12)
Forecasting has clearly become a field in its own right; its growth and change continue at a rather fast pace, as the number of published books and papers on the topic increases and as more experience about forecasting ...
The second law of systems
(Taylor & Francis, 1977)
This paper asserts that the Second Law of Thermodynamics (SLT) despite holding truc in ail laboratory tests heretofore conducted, cannot, by itself, explain the hierarchical universe. By examination of the existing evidence, ...
The Value of Decision Making in a Complex Environment: An Experimental Approach
(The European Institute of Business Administration, Fontainebleau, France, 1981)
Are the costs of time arid effort spent on analyzing decisions outweighed by benefits? This issue was examined in the context of a competitive business game where human teams were pitted against two kinds of simple-minded ...
Why combining works?
(Elsevier, 1989)
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 ...
Forecasting accuracy and system complexity
(Fontainebleau, France, 1995)
Accurate forecasts are essential for a great number of applications yet large errors and considerable uncertainty characterize most of our attempts for predicting the future. This article surveys empirical studies on ...
Exponential smoothing: The effect of initial values and loss functions on post-sample forecasting accuracy
(Elsevier Ltd, 1991-11)
This paper describes an empirical investigation aimed at measuring the effect of different initial values and loss functions (both symmetric and asymmetric) on the post-sample forecasting accuracy. The 1001 series of the ...
Accuracy measures: theoretical and practical concerns
(Elsevier, 1993)
The Notes section of the international Journal of Forecasting contains commentary on the theory and
practice of forecasting in the form of communications to the journal such as research notes, teaching
tips, practitioners’ ...