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Errors of Classification in a Binomial Population

Marion R. Bryson
Journal of the American Statistical Association
Vol. 60, No. 309 (Mar., 1965), pp. 217-224
DOI: 10.2307/2283147
Stable URL: http://www.jstor.org/stable/2283147
Page Count: 8
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Errors of Classification in a Binomial Population
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Abstract

In the classification of the elements in a binomial population, there is in many cases a chance of misclassifying an item. When an item in a sample from a binomial population is misclassified, it causes a bias, independent of the standard error, in the estimate of the population parameter P. This paper analyzes this bias when each of two interviewers independently classify the items in a single sample. Upper and lower bounds for the bias are derived.

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