A Note on the Reliability Tests of Estimates from ARMS Data

USDA uses the concept of “publish-ability” rather than statistical reliability of an estimate for quality validation of USDA estimates, which is solely based on the sample size and the coefficient of variation (CV). We demonstrate conceptually how the reliability of the sample mean can be tested by...

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Bibliographic Details
Published in:Agricultural and resource economics review 2004-10, Vol.33 (2), p.293-297
Main Authors: Kim, C. S., Hallahan, C., Lindamood, W., Schaible, G., Payne, J.
Format: Article
Language:English
Subjects:
Agricultural Resource Management Study
coefficient of variation
Confidence intervals
corn
crop production
crop residue management
decision support systems
Economic Research Service
Estimates
estimation
farm management
Grain
Irrigation
irrigation management
National Agricultural Statistics Service
nutrient management
nutrient uptake
pesticide application
Population
publish-ability
quality validation
reliability
sampling
statistical analysis
Statistics
surveys
transgenic plants
USDA
variance
water use
Websites
Zea mays
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Summary:USDA uses the concept of “publish-ability” rather than statistical reliability of an estimate for quality validation of USDA estimates, which is solely based on the sample size and the coefficient of variation (CV). We demonstrate conceptually how the reliability of the sample mean can be tested by estimating the upper and lower bounds of the confidence interval for an unknown population mean using the CV. However, the reliability test for the sample mean can be made only under the normality assumption. USDA multiple-way Agricultural Resource Management Survey (ARMS) estimates are used to illustrate the relative measure of precision for sample-based estimators.
ISSN:1068-2805
2372-2614
DOI:10.1017/S1068280500005852