Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam Rose] has ...

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 ...

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 ...

During design verification, how many samples should you use for testing? A consultant answers the question. In the “MyQuickConsult Question Grab Bag," a new series, David Amor, cofounder of medical ...

Evolutionary and conservation geneticists frequently rely on neutral molecular data to describe population structure. In the past 30 years, a parade of molecular markers have been used, from blood ...

Recording every individual in a population is impractical, unnecessary, and expensive (Magurran 1988). Instead community ecologists and scientists in general take replicated samples to represent the ...

A sampling procedure in unequal cluster sampling for fixed sample size, where the number of units in the initial sample of selected clusters exceeds the planned size of units is proposed. A scheme for ...

AQL, originally known as acceptable quality level, was redefined in 2008 as acceptable quality limit. ISO 2859 defines AQL as ...

On rearranging, this becomes Equation 4: It is now apparent that the humble average is the best least squares estimator for the data model, Y = X + ε, which is the measure of location. In addition, ...