Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

Most people have nightmares about showing up for class naked. Scientists have nightmares about making elementary statistics errors in their published work. Publication in a scientific journal is ...

Researchers have developed a new way to identify and correct for a type of systematic statistical error in large datasets. The error, known as a batch effect, crops ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Human error, not human biology, largely accounts for the apparent decline of mortality among the very old, according to a new report. The result casts doubt on the ...

'Statisticians would love to be able to predict with 100% accuracy the success or failure of a new medication or the exact outcomes of an election. However, this is not possible.' I am a statistician, ...

This article discusses simple processes for addressing the random and systematic errors caused by the dead time in a gramma-ray spectrometer. It also explains the applicability of the livetime clock ...