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 ...

It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

Acute Complications After High-Dose Chemotherapy and Stem-Cell Rescue in Pediatric Patients With High-Risk Neuroblastoma Treated in Countries With Different Resources Prerequisite data for forecasting ...

An international research group has developed a novel intraday probabilistic forecast method for surface solar radiation. The new methodology, dubbed SolarSTEPS, is reportedly the first probabilistic ...

In 2005, the Director of Plans and Programs in the Office of the Director of Defense Research and Engineering (DDR&E) presented three reasons why disruptive technologies are of strategic interest to ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

The exploration for new oil, gas or metals is now a multibillion-dollar complex business. This industry has always been high-risk, as required investments are often large and do not always justify ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.