JSM 2004 - Toronto

Abstract #300997

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Activity Number: 412
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #300997
Title: Sample Design for Monitoring the Data Collection Process of Large-scale Natural Resource Surveys
Author(s): Cristiano Ferraz*+ and Jean Opsomer and Sarah Nusser
Companies: Iowa State University and Iowa State University and Iowa State University
Address: Dept. of Statistics, Ames, IA, 50011,
Keywords: quality inspection ; probability sampling
Abstract:

A data quality monitoring plan is an important part of any large scale survey. The implementation of such plans requires selection of samples for inspection during the data collection process. The goal of this paper is to discuss guidelines for the design of a probabilistic sampling procedure for quality inspection purposes. In particular, the feasibility of some sample designs will be investigated as applied to the USDA's National Resources Inventory.


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Revised March 2004