Cover: Sampling Method : Suggestions for Military Cost Analysts.

Sampling Method : Suggestions for Military Cost Analysts.

by Gerald C. Sumner


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback92 pages $30.00 $24.00 20% Web Discount

An examination of aspects of probability sampling and application of the sampling method to cost analysis. The relative merits of the sample as a means of data collection, sampling theory, and the more basic techniques of sample design and estimation are discussed. Sampling offers an approach to the data quality problem that is usually cheaper, faster, and more flexible than attempts to modify existing massive data collection systems. Basic tools that the analyst has at his disposal are stratification, clustering, subsampling, systematic sampling, ratio and regression estimators, and sampling with unequal probabilities. The study was prepared to provide an introduction to sampling methods. There is sufficient coverage to guide simple survey investigations, and attention is given throughout to the use of cost-effectiveness criteria in choosing among alternative sampling plans. 92 pp. Bibliog.

This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

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

The RAND Corporation 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.