BAYESIAN STRATIFIED TWO-PHASE SAMPLING RESULTS: A k CHARACTERISTICS.

Abstract

The authors had previously obtained some results concerning the optimum allocation of sampling effort among k strata at the second phase of a two phase sampling procedure, using information obtained from the first phase. One variable (or characteristic) was involved. Two different approaches were employed: a Bayesian posterior analysis and a Bayesian preposterior analysis. Two different allocation methods were derived and illustrated with some numerical examples, for cases where some or all of the nuisance parameters were unknown. The problem when all nuisance parameters are known had been discussed by Ericson. In this work the authors extend their results to the case of k characteristics. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1968
Accession Number
AD0681034

Entities

People

  • Irwin Guttman
  • Norman Richard Draper

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Sampling

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference