An Exact Small Sample Theory for Post-Stratification.

Abstract

A genuine small sample theory for post-stratification is developed in this paper. This includes the definition of a ratio estimator of the population mean Y, the derivation of its bias and its exact variance and a discussion of variance estimation. The estimator has both a within strata component of variance which is comparable with that obtained in proportional allocation stratified sampling and a between strata component of variance which will tend to zero as the overall sample size becomes large. Certain optimality properties of the estimator are obtained. The generalization of post-stratification from the simple random sampling to post-stratification used in conjunction with stratification and multi-stage designs is discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1978
Accession Number
ADA053919

Entities

People

  • D. C. Doss
  • G. R. Somayajulu
  • Herman Otto Hartley

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Computations
  • Data Science
  • Estimators
  • Information Science
  • Mathematics
  • Military Research
  • Probability
  • Random Variables
  • Sampling
  • Statistical Algorithms
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Stratification
  • Surveys
  • Universities

Fields of Study

  • Mathematics

Readers

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