Abstract: The power system dynamic performance under stochastic continuous disturbances is described using stochastic differential algebraic equations (SDAEs). A critical issue of using the ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Abstract: Non-intrusive load monitoring (NILM) can provide appliance-level power consumption information without deploying submeters for each load, in which load event detection is one of the crucial ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

The WeightedRandomItemSampler class implements a random sampler where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an ...

Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs ...

Sampling originated from DJ Kool Herc's Merry-Go-Round technique. Over time, the technique evolved and has created hip-hop songs with ties that go back decades. The legal battles with clearing samples ...

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 ...