Some finite population unbiased ratio and regression estimators.

M. R. Mickey

Expert InsightsPublished 1958

A presentation of a class of ratio- and regression-type estimators such that the estimators are unbiased for random sampling, without replacement, from a finite population. Nonnegative unbiased estimators of estimator variance are provided for a subclass. Similar results are given for the case of generalized procedures of sampling without replacement. Efficiency is compared with comparable estimation-sample-selection methods for this case. (Published in the Journal of the American Statistical Association, Sept. 1959.)

Document Details

Citation

Chicago Manual of Style

Mickey, M. R., Some finite population unbiased ratio and regression estimators. Santa Monica, CA: RAND Corporation, 1958. https://www.rand.org/pubs/papers/P1348.html.
BibTeX RIS

This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.