Investopedia

Systematic Sampling: What Is It, and How Is It Used in Research?

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 ...
Investopedia

Systematic Sampling: What It Is, Pros and Cons

Sean Ross is a strategic adviser at 1031x.com, Investopedia contributor, and the founder and manager of Free Lances Ltd. Gordon Scott has been an active investor and technical analyst or 20+ years. He ...
JSTOR Daily

Random Contact Processes, Snowball Sampling and Factorial Series Distributions

A contact process first posed as a random mapping problem is discussed together with a model for the spread of a rumour through an archaic telephone system. Snowball sampling and the well-known ...
JSTOR Daily

Linking biodiversity patterns by autocorrelated random sampling

Biodiversity macroecology deals with the commonly measured variables of abundance, distribution, occupancy, and range size across two scales: the local (or α) and regional (γ). There are ca. 15 ...
The Conversation

How a random sampling regime could help detect COVID and highlight infection hotspots

Stephen John Haslett is a member of the NZ Ministry of Health Covid-19 Expert Advisory Network. As a member of the Te Punaha Matatini research collaboration Richard Arnold receives funding from the ...
JD Supra

Demystifying Statistical Sampling: What Litigators Should Know About Statistical Sampling in Labor and Employment Disputes

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...