Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

In this report, the development of a Dynamical Statistical Analog Ensemble Forecast model for landfalling typhoon disasters (LTDs) and some applications over coastal China are described. This model ...

Forecasting the El Niño-Southern Oscillation (ENSO) has been a subject of vigorous research due to the important role of the phenomenon in climate dynamics and its worldwide socioeconomic impacts.

Statistical modeling techniques that retailers and manufacturers use to find and target customers helped some prognosticators predict the outcome of this month’s U.S. elections with stunning accuracy.

As businesses become increasingly reliant on data to make informed decisions, the importance of accurate and precise analytical business intelligence cannot be overstated. However, to truly tap into ...

A global team of researchers has made strides in refining weather forecasting methods, with a specific focus on addressing the persistent issue of "quantile crossing." This phenomenon disrupts the ...

Budget process evolution and maturity in healthcare organizations traditionally has lagged other industries, where leading-edge and data-driven forecasting approaches are currently evolving. Most ...

Company expansion often means a sizable investment of working capital, which makes it a risk without some assurance that the expansion makes sense. Many businesses use forecasting models as one ...

The US Department of Agriculture (USDA) produces a bounty of data, official statistics, analyses, and forecasts on the US agricultural economy, households’ access to and consumption of food, farming ...

Editor’s Note: Every year, 40 or so students in the MIT Center for Transportation & Logistics' (MIT CTL) Master of Supply Chain Management (SCM) program complete one-year research projects. The ...