• Entry
  • Reader's guide
  • Entries A-Z
  • Subject index

Stratified samples are commonly used when supplementary information is available to help with sample design. The precision of a stratified design is influenced by how the sample elements are allocated to strata. Neyman allocation is a method used to allocate sample to strata based on the strata variances and similar sampling costs in the strata. A Neyman allocation scheme provides the most precision for estimating a population mean given a fixed total sample size.

For stratified random sampling, the population is divided into H mutually exclusive strata. In each stratum, a simple random sample is drawn without replacement. Neyman allocation assigns sample units within each stratum proportional to the product of the population stratum size (Nh) and the within-stratum standard deviation (Sh), so that minimum variance ...

    • Loading...
    locked icon

    Sign in to access this content

    Get a 30 day FREE TRIAL

    • Watch videos from a variety of sources bringing classroom topics to life
    • Read modern, diverse business cases
    • Explore hundreds of books and reference titles