Golden rule of forecasting: Be conservative

JS Armstrong, KC Green, A Graefe - Journal of Business Research, 2015 - Elsevier
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 …

A review of trend models applied to sea level data with reference to the “acceleration‐deceleration debate”

H Visser, S Dangendorf… - Journal of Geophysical …, 2015 - Wiley Online Library
Global sea levels have been rising through the past century and are projected to rise at an
accelerated rate throughout the 21st century. This has motivated a number of authors to …

Simple versus complex forecasting: The evidence

KC Green, JS Armstrong - Journal of Business Research, 2015 - Elsevier
This article introduces this JBR Special Issue on simple versus complex methods in
forecasting. Simplicity in forecasting requires that (1) method,(2) representation of …

A bias and variance analysis for multistep-ahead time series forecasting

SB Taieb, AF Atiya - IEEE transactions on neural networks and …, 2015 - ieeexplore.ieee.org
Multistep-ahead forecasts can either be produced recursively by iterating a one-step-ahead
time series model or directly by estimating a separate model for each forecast horizon. In …

A hybrid method for short-term traffic congestion forecasting using genetic algorithms and cross entropy

P Lopez-Garcia, E Onieva, E Osaba… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
This paper presents a method of optimizing the elements of a hierarchy of fuzzy-rule-based
systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) …

[HTML][HTML] The bias bias

H Brighton, G Gigerenzer - Journal of Business Research, 2015 - Elsevier
In marketing and finance, surprisingly simple models sometimes predict more accurately
than more complex, sophisticated models. Here, we address the question of when and why …

Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping

AA Syntetos, MZ Babai, ES Gardner Jr - Journal of Business Research, 2015 - Elsevier
Although intermittent demand items dominate service and repair parts inventories in many
industries, research in forecasting such items has been limited. A critical research question …

A neural network based linear ensemble framework for time series forecasting

R Adhikari - Neurocomputing, 2015 - Elsevier
Combining time series forecasts from several models is a fruitful alternative to using only a
single individual model. In the literature, it has been widely documented that a combined …

Perspective—Chance explanations in the management sciences

J Denrell, C Fang, C Liu - Organization Science, 2015 - pubsonline.informs.org
We propose that random variation should be considered one of the most important
explanatory mechanisms in the management sciences. There are good theoretical reasons …

Simple versus complex selection rules for forecasting many time series

R Fildes, F Petropoulos - Journal of Business Research, 2015 - Elsevier
Selecting the appropriate forecasting method for a large number of time series is a major
problem for many organizational forecaster. Researchers propose various selection rules in …