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The Effects of Measurement Errors on Variance Estimation
The Effects of Measurement Errors on Variance Estimation
RR87-17
Introduction
In Wolter (1985) the problem of estimating variances when the data are contaminated by measurement (or response) errors was considered for linear estimators. Under a simple additive error model it was shown that design-unbiased variance estimators are in general biased as estimators of total variance and that in certain circumstances this bias can be important. It was also shown that with additional conditions a random group variance estimator can shift the bias entirely to the sampling error component, generally with an accompanying reduction in the total variance.
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A Comparison of Alternative Estimators for Revised Monthly Import S...
A Comparison of Alternative Estimators for Revised Monthly Import Statistics
Related Information
WORKING PAPER
Statistical Research Reports and Studies
Page Last Revised - October 28, 2021
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