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Activity Number:
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474
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301201 |
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Title:
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A Protocol Calibration Experiment in a Longitudinal Survey with Errors-in-Variables
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Author(s):
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Cindy Yu*+ and Jason C. Legg
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Companies:
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Iowa State University and Iowa State University
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Address:
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Department of Statistics, Ames, IA, 50010,
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Keywords:
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Measurement error ; Area sampling ; Generalized least squares ; National Resources Inventory
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Abstract:
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The National Resources Inventory (NRI) is a large-scale longitudinal survey conducted to assess trends and conditions of nonfederal land. A key NRI estimate is year-to-year change in acres of developed land, where developed land includes roads and urban areas. Since 2003, a digital data collection procedure has been implemented. Data from an NRI calibration experiment are used to estimate the relationship between data collected under the old and new protocols. A measurement error model is postulated for the relationship, where duplicate measurements are used to estimate the error variances. Analyses suggest that therefore the parameters in current use are acceptable. The paper also provides a way to model the measurement error variances as functions of the proportion of developed land, which is essential for estimating the effect of measurement.
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