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
Recommended Citation
David, Isidoro P. and Sukhatme, B. V., "On the bias and mean square error of the ratio estimator" (2021). Journal Article. 3829.
https://www.ukdr.uplb.edu.ph/journal-articles/3829