Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Human interactions play an important role in determining the potential transmission routes of infectious diseases and other contagion phenomena 1. Their measure and characterization represent an ...

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...

This paper offers a synthetic view of several academic fields that usually require stand-alone lengthy developments: sociology, social psychology and graph theories. The purpose thereof is not to deep ...

Children tap the legs for local seniors at an elderly care center in Deqing County of Huzhou City, east China's Zhejiang Province, Oct. 10, 2024. Photo: Xinhua The National Bureau of Statistics is set ...

Sampling is the process of collecting some data when collecting it all or analyzing it all is unreasonable. Before addressing why sampling still matters when massive amounts of data are available and ...