The Lancaster Centre for Forecasting is running a survey to gain insights into what drives the improvement of forecast quality in practice. Click here to take the survey.
The research is not for commercial purposes and all responses are strictly confidential. That means there will be no results reported/discussed/etc. at an individual company or respondent level. The survey will take about 5 minutes depending on how much information-sharing you provide.
We have added another free software resource to the Software page and another online textbook to the Text & Trade Books page. The software is Bob Nau and John Butler's Regressit, a free Excel add-in for regression and multivariate analysis. The textbook, with lecture notes and sample data, has been compiled by Bob Nau to support his statistical forecasting course at Duke University. See the Freeware section on the Software page here, or in the left menu bar, for Regressit, and the Text & Trade Books page here, or in the left menu bar, for Bob's online book Statistical forecasting: Notes on regression and time series analysis.
Frontiers in Forecasting
35th International Symposium on Forecasting, June 21-24, 2015 in Riverside, California
Integrating academic research into practical applications is one of the hallmarks of the 35th annual International Symposium on Forecasting (ISF) being held June 21 â€“ 24 in Riverside, California. The ISF draws the world's top forecasting professionals and researchers, presenters and participants, to learn and discuss cutting-edge forecasting trends.
The premiere international conference on forecasting, the ISF encompasses a broad range of forecasting sectors. This year's event includes sessions on climate predictability, forecasting electricity demand, prediction of business cycles in real time, financial market volatility, forecast optimality, early warning signals, tourism forecasting, information technology trends, macroeconomic trends and history of prediction science, among many others.
The ISF 2015 Program Committee invites abstract submissions related to the theory and practice of forecasting. The deadline date for abstracts is March 16, 2015. Papers can be submitted online here.
In a new commentary section of the Forecasting Principles site, Media & Commentary, Scott Armstrong and Kesten Green suggest that the recent badly wrong New York City snowfall forecasts could have been avoided if officials had followed the Golden Rule of Forecasting. For more on this story, particularly if you are concerned about what to make of forecasts of new storms and how they might be improved, click on the Media & Commentary item in the left menu bar to go to that page, or click here to go staight to the item.