Ken Gerow, professor emeritus of the University of Wyoming’s Department of Mathematics and Statistics, has co-written a new ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among the ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

A range of genetic factors can influence the onset of diseases like high blood pressure, heart disease, and type 2 diabetes, according to scientists. If we were to know how the DNA influences the risk ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article ...

Livestock agriculture (e.g., dairy, beef, pork, poultry) in the United States is tending rapidly toward operations where a large number of animals are concentrated in a relatively small area. The ...

Fingerprints that are potential key pieces of evidence in court currently are not being considered due to shortcomings in the way this evidence is reported. Now, a statistical model has been developed ...

Figure 1: Measuring fit of the Ricker model. There is extremely strong statistical evidence that the Nicholson blowfly fluctuations are limit cycles perturbed by noise. They are not the result of ...