Principles of forecasting
By J. Armstrong. 2001
800 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8effbbe72e07a67e8f2c4a5dd2f7944881e87c76
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Rob J Hyndman
- Konstantinos Nikolopoulos
- Sven F. Crone
- Fotios Petropoulos
- Nikolaos Kourentzes
- Robert Fildes
- Christoph Bergmeir
- A. Syntetos
In Statistics and Probability
- Konstantinos Nikolopoulos
- Robert Fildes
- Sven F. Crone
- Rob J Hyndman
- K. Smith‐Miles
- M. Hibon
- Franz Liebl
- Theo J. B. M. Postma
Citations in the corpus
- Performance of Combined Double Seasonal Univariate Time Series Models for Forecasting Water Demand (2009, neutral): “Combining forecasts can reduce errors by averaging of individual forecasts (Clemen, 1989, Armstrong 2001) and is particularly useful when we are uncertain about which forecasting method is better for future prediction.”
- Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters (2009, positive): “Forecast accuracy of combinations of the methods Several studies show that combining the results of different forecasting methods can improve forecasting accuracy (Armstrong, 2001; Batchelor and Dua, 1995; Blattberg and Hoch, 1990).”
- Lancaster University Management School Working Paper 2007 / 005 Against your better judgment ? How organizations can improve their use of management judgment in forecasting (2007, neutral): “They also allow the process that produced the forecast to be disclosed more easily and reduce the chances of political interference with the forecasts (Armstrong 2001). Armstrong and Collopy (1998) specify a number of possible rules.”
- To combine or not to combine: selecting among forecasts and their combinations (2005, methodology): “However this is ‘‘equally unfair’’ for both individual methods and their combinations, although there are indications that combinations are advantageous for long-term forecasting (Armstrong, 2001).”
- Internet-Based Virtual Stock Markets for Business Forecasting (2003, background): “Apart from decision-support systems that usually make use of many different data sources, two different approaches attempt to solve such prediction problems (Armstrong 2001).”
- How to improve scenario analysis as a strategic management tool (2005, background): “Several creativity-enhancing or brainstorming kind of methods and techniques, of course, can be used for this aim [26].”