We present an importance sampling method for deciding, based on an observed random field, if a scan statistic provides significant evidence of increased activity in some localized region of time or ...

Bayesian versions of the classical one-way random effects model are widely used to analyze data. If the standard diffuse prior is adopted, there is a simple block Gibbs sampler that can be employed to ...

Imagine you're tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might ...

Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Simple random sampling is a method used to cull a smaller sample size from a larger ...

Pew Research Center designed this study to assess the current state of online survey sampling methods – both probability-based and opt-in – and determine their accuracy on general population estimates ...

This study looks at how national public opinion polling in the United States changed from 2000 to 2022. It focuses on two aspects: the sample source(s) – that is, where the survey takers came from – ...

Bad Fast Fourier Transfer (FFT) data captures can cause you to misunderstand the true performance of your analog-to-digital converter (ADC). Some engineers like to coherently sample and capture data ...