This study evaluated measures for making comparisons of errors across time series. We
analyzed 90 annual and 101 quarterly economic time series. We judged error measures on …

To improve forecasting accuracy, combine forecasts derived from methods that differ
substantially and draw from different sources of information. When feasible, use five or more …

Purchase intentions are routinely used to forecast sales of existing products and services.
While past studies have shown that intentions are predictive of sales, they have only examined …

I briefly summarize prior research showing that tests of statistical significance are improperly
used even in leading scholarly journals. Attempts to educate researchers to avoid pitfalls …

We examined the relationships between the research originating at business schools,
students' satisfaction with the schools, and the published ratings of the school's prestige. …

Valid predictions for the direction of nonresponse bias were obtained from subjective
estimates and extrapolations in an analysis of mail survey data from published studies. For …

Long-Range Forecasting, 2nd. ed, is based heavily on empirical studies and demonstrated
many useful forecasting techniques to attain higher levels of accuracy. The book …

A review of research from organizational behaviour supported the guidelines by corporate
planners: that is, use an explicit approach for setting objectives, generating strategies, …

… J. Scott Armstrong is a professor of marketing in the Wharton School at the University of …
Scott Armstrong. 1992. Are null results becoming an endangered species in marketing? …

Using a genome-scale, lentivirally delivered shRNA library, we performed massively parallel
pooled shRNA screens in 216 cancer cell lines to identify genes that are required for cell …