resampling

In statistical contexts, this term refers to a specific methodology used to assess the reliability of an estimate by repeatedly drawing samples from the original data. It is a technical term of art in data science and econometrics, often associated with techniques like bootstrapping or jackknifing to determine confidence intervals without assuming a normal distribution.

In digital signal processing, the term describes the technical act of altering the sample rate of a discrete-time signal. This process is critical for hardware compatibility and audio fidelity, often involving interpolation or decimation to prevent aliasing artifacts. While both uses involve the concept of "sampling again," they belong to entirely different professional domains—statistics and engineering.