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 ...

A research team at the University of Vienna, led by pharmaceutical chemist Johannes Kirchmair, has developed a statistical ...

While well-established statistical methods have long existed for traditional data, methods for functional data are not yet as extensively developed and tested. Seydi's research also shows that the ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

Free PartIf you are following nutritional advice to 'eat 30g of whole grains every day to prevent heart disease,' is that ...

In December, the academic publisher De Gruyter launched its new journal Open Statistics with an opening article by TU Dresden mathematician Dr. Björn Böttcher. The article presents the extension of ...

No matter the field, if a researcher is collecting data of any kind, at some point he is going to have to analyze it. And odds are he’ll turn to statistics to figure out what the data can tell him. As ...

One of the principal goals in functional magnetic resonance imaging (fMRI) is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates ...

Improving statistical methods to protect wildlife populations Threats affecting more and more species Date: May 22, 2024 Source: University of Barcelona Summary: In human populations, it is relatively ...

Many would probably be content to use Bayesian methodology for hypothesis testing, if it was easy, objective and with trustworthy assumptions. The Bayesian information criterion and some simple bounds ...

A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.