Skip to main content

Neyman Allocation

Encyclopedia
Edited by: Published: 2008
+- LessMore information
Download PDF

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 ...

Looks like you do not have access to this content.

Reader's Guide

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z