Degree Type

Dissertation

Date of Award

2004

Degree Name

Doctor of Philosophy

Department

Statistics

First Advisor

Sarah M. Nusser

Second Advisor

Jean D. Opsomer

Abstract

The design of samples to monitor the quality of the data being collected (data quality monitoring) and to evaluate properties of measurement errors for the survey (measurement error evaluation) in the context of large-scale longitudinal surveys is discussed. Longitudinal surveys provide historical information that allows for more complex sample designs than simple ad hoc approaches used in one-time surveys. The properties and feasibility of several classes of probability sample designs for data quality monitoring is investigated. The problem of assessing the properties of measurement error is addressed with emphasis on designing a subsample to estimate the measurement error contribution to the variance of a sample estimator. The investigation is motivated by potential applications to the United States Department of Agriculture's National Resources Inventory.

DOI

https://doi.org/10.31274/rtd-180813-69

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu

Copyright Owner

Cristiano Ferraz

Language

en

Proquest ID

AAI3158333

File Format

application/pdf

File Size

97 pages

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