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Activity Number:
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207
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #309209 |
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Title:
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Measurement Error in Calibration: An Application to the National Resources Inventory
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Author(s):
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Emily Berg*+ and Jean Opsomer and Wayne Fuller
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Companies:
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Iowa State University and Iowa State University and Iowa State University
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Address:
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CSSM, Ames, IA, 50011,
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Keywords:
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calibration ; measurement error ; survey sampling
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Abstract:
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Properly accounting for measurement error in calibration problems can greatly improve estimates and predictions. New data collection protocols are being implemented for the National Resources Inventory (NRI), a longitudinal survey of nonfederal land in the US. As one of the primary objectives of the NRI is to estimate change over time, it is essential that changes in land use are not confounded with the effects of new measurement techniques. In calibrating the new protocols against standard methods, it is important to acknowledge sources of error inherent in both procedures. A special study was conducted as part of the 2005 NRI to estimate the impact of new protocols, in the presence of multiple sources of variation. We present a measurement error model for the data from this calibration study and discuss estimation of regression coefficients and variance components.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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