This article proposes a unifying theory, or the Golden Rule, of forecasting. The Golden Rule
of Forecasting is to be conservative. A conservative forecast is consistent with cumulative …

From its foundation, operational research (OR) has made many substantial contributions to
practical forecasting in organizations. Equally, researchers in other disciplines have …

In this work we present a large scale comparison study for the major machine learning
models for time series forecasting. Specifically, we apply the models on the monthly M3 time …

We review the past 25 years of research into time series forecasting. In this silver jubilee
issue, we naturally highlight results published in journals managed by the International …

Describing new techniques and novel applications, Handbook of Research Methods in
Public Administration, Second Edition demonstrates the use of tools designed to meet the …

Forecasting of time series that have seasonal and other variations remains an important
problem for forecasters. This paper presents a neural network (NN) approach to forecasting …

Exponential smoothing is widely used in practice and has shown its efficacy and reliability in
many business applications. Yet there are cases, for example when the estimation sample is …

Problem How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …

Statistical tools for forecasting purpose started using smooth exponential methods in 1950s.
These methods were modified depending upon the trend followed in the data sets, based …

We provide empirical evidence that automobile manufacturers use cash incentives to offset
how gasoline price fluctuations affect the expected fuel expenses of automobile buyers …