Optimal Allocation for Two Phase Stratified Samples When the Within Stratum Observations are Correlated. A Bayesian Approach.

Abstract

The paper is concerned with the problem of allocating the second phase budget in a two-phase stratified sampling design, when the within stratum samples do not consist of independent observations, but in fact, the observations are correlated. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0741181

Entities

People

  • Charles Palit
  • Irwin Guttman

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Bayesian Networks
  • Collecting Methods
  • Data Acquisition
  • Observation
  • Sampling

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Geotechnical Engineering.
  • Nuclear Civil Defense.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms