On the bias and mean square error of the ratio estimator

Abstract

In deriving the bias and mean square error of the ratio estimator (Equation presented), it is generally assumed that (Equation presented) for all possible samples. This assumption is, however, unlikely to be satisfied except in special situations. This article presents a justification for the use of the usual approximations to the bias and mean square error of (Equation presented). Bounds for the deviations of the approximations from the true values are also given. © 1974, Taylor & Francis Group, LLC.

Source or Periodical Title

Journal of the American Statistical Association

ISSN

1621459

Page

464-466

Document Type

Article

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