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June 1, 1987Journal of the American Statistical Association1,391 citations

Introduction to Variance Estimation.

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BKBenjamin F. KingKWKirk M. Wolter

Key Points

  • This work aims to explore and summarize various methods of variance estimation and their applications in statistical analysis.
  • Describes the Method of Random Groups and Balanced Half-Samples
  • Explains the Jackknife and Bootstrap methods for variance estimation
  • Analyzes the effect of measurement errors and imputation on variance calculations
  • Summarizes multiple variance estimation techniques and their use in complex survey contexts
  • Details the implications of measurement errors on estimation accuracy
  • Introduces software tools that facilitate variance estimation processes

Abstract

The Method of Random Groups.- Variance Estimation Based on Balanced Half-Samples.- The Jackknife Method.- The Bootstrap Method.- Taylor Series Methods.- Generalized Variance Functions.- Variance Estimation for Systematic Sampling.- Summary of Methods for Complex Surveys.- Hadamard Matrices.- Asymptotic Theory of Variance Estimators.- Transformations.- The Effect of Measurement Errors on Variance Estimation.- Computer Software for Variance Estimation.- The Effect of Imputation on Variance Estimation.

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Cite This Study

King et al. (1987) studied this question.

synapsesocial.com/papers/6a0a24eb87ad1657d252124chttps://doi.org/10.2307/2289497
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